[FreeCoursesOnline.Me] [UDACITY] NLP Foundations Nanodegree - [FCO]

Creation Time	Dec. 21, 2023, 2:37 a.m.
Last Access Time	Aug. 17, 2025, 4:44 p.m.
File Size	1.1 GB
Keywords	FreeCoursesOnline Me NLP Nanodegree - UDACITY Foundations FCO
Total Requests	222
Total Files	1201
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.mp4 30.4 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.mp4 28.0 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4 23.3 MB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 23.1 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/11. Getting Started with Watson-9LTS9JfGNzM.mp4 21.8 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.mp4 19.8 MB
Part 03-Module 01-Lesson 02_Text Processing/05. Cleaning-qawXp9DPV6I.mp4 19.6 MB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/05. Building The RNN 1-XTD6slf64fM.mp4 19.1 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.mp4 18.2 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp4 17.7 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/10. NLP Services-vTupzLkpxJU.mp4 16.5 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/07. Natural Language Processing-sQiURKPFXNM.mp4 15.5 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4 13.6 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.mp4 13.3 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/15. Build The Network And Results-hu8iMMqajmQ.mp4 13.3 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/09. Local Connectivity-z9wiDg0w-Dc.mp4 13.1 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/26. Transfer Learning in Keras-HsIAznMM1LA.mp4 12.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/01. Introduction-ZWRZvOXiC28.mp4 12.8 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/13. Towards Augmented Intelligence-6y2B8VKoGTw.mp4 12.4 MB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.2 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/20. Image Augmentation in Keras-odStujZq3GY.mp4 10.3 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp4 9.8 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.mp4 9.7 MB
Part 02-Module 04-Lesson 04_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 9.6 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/23. Visualizing CNNs-mnqS_EhEZVg.mp4 9.2 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/12. A simple model for my savings account balance-JQ2Nzzxx5oQ.mp4 9.0 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/11. RNN Output-RkanDkcrTxs.mp4 8.9 MB
Part 06-Module 01-Lesson 02_Sequence to Sequence/06. Preprocessing-ktQW6p9pOS4.mp4 8.9 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4 8.7 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.mp4 8.6 MB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/06. Training The Network-nknJ3Xu3ld0.mp4 8.4 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.mp4 8.1 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/22. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp4 8.1 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/10. Convolutional Layers-h5R_JvdUrUI.mp4 8.0 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/12. Stride and Padding-0r9o8hprDXQ.mp4 8.0 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/09. LSTM Cell-ajC-5uWB8S4.mp4 7.8 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.mp4 7.7 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/11. Graphical model representations of recursive sequences-OS9yQCTzCkg.mp4 7.6 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/41. Regularization-ndYnUrx8xvs.mp4 7.6 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/07. Simple recursive examples-F4-CBqMsd_Y.mp4 7.5 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.mp4 7.3 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/13. Error Functions-jfKShxGAbok.mp4 7.2 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/29. Flaws with the FNN approach-sUXrzpAkF9A.mp4 7.2 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/14. Build The Network-RVNjDlWTBQU.mp4 7.1 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/03. LSTMs-RYbSHogZetc.mp4 6.9 MB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/03. Data Preprocessing-h4-LwZU9_k8.mp4 6.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.mp4 6.6 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Backpropagation V2-1SmY3TZTyUk.mp4 6.5 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.4 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/03. How Computers Interpret Images-V4f6p6uRhu8.mp4 6.2 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/06. How do we model an ordered sequence-LYcB8iV2bGE.mp4 5.9 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/15. Pooling Layers-OkkIZNs7Cyc.mp4 5.8 MB
Part 06-Module 01-Lesson 02_Sequence to Sequence/02. Jay's Introduction-HPOzAlXhuxQ.mp4 5.8 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/04. Vanilla learning and structured input-oAt0eYD5_Tc.mp4 5.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.mp4 5.7 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/03. Motivation for RNNs-vPhD02WxMk8.mp4 5.7 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.7 MB
Part 04-Module 01-Lesson 01_Feature Extraction/09. T-SNE-xxcK8oZ6_WE.mp4 5.6 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/07. When do MLPs (not) work well-deMeuLdZN3Q.mp4 5.5 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/05. Categorical Cross-Entropy-3sDYifgjFck.mp4 5.4 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.mp4 5.4 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/02. Structured Languages-NsmqUIHlk6U.mp4 5.4 MB
Part 06-Module 01-Lesson 02_Sequence to Sequence/05. Architecture in More Depth-rdAo4MqLbEk.mp4 5.4 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 5.3 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.3 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/06. Model Validation in Keras-002jNXSM6CU.mp4 5.2 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 5.1 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/08. Batching Data Solution-o3nBxHJLQcc.mp4 5.1 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/01. Welcome to NLP-g-AlFF61p0I.mp4 5.0 MB
Part 03-Module 01-Lesson 02_Text Processing/12. Stemming And Lemmatization-7Gjf81u5hmw.mp4 4.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. Error Function-V5kkHldUlVU.mp4 4.8 MB
Part 02-Module 04-Lesson 04_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 4.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Combinando modelos-Boy3zHVrWB4.mp4 4.7 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/02. Section 1 Introduction-_zo6RiwmDCk.mp4 4.7 MB
Part 04-Module 01-Lesson 01_Feature Extraction/08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 4.7 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/13. Output And Loss Solutions-CT8hcU7FmGc.mp4 4.7 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/04. Unstructured Text-OmwSdaec5vU.mp4 4.6 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/06. Context-J-4pfu2w1C0.mp4 4.6 MB
Part 06-Module 01-Lesson 02_Sequence to Sequence/04. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.5 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/25. 3 4 Example 4-UfOUisfQPZc.mp4 4.5 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/32. RNNs 4 4 RNN Properties- Memory-0B8O2eNv2DY.mp4 4.4 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/04. MLPs For Image Classification-TIFStebu530.mp4 4.4 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/12. Network Loss-itu-uNK4brc.mp4 4.3 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp4 4.2 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/42. Dropout-Ty6K6YiGdBs.mp4 4.2 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.mp4 4.2 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 4.1 MB
Part 02-Module 04-Lesson 04_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.1 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.mp4 4.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 4.0 MB
Part 04-Module 01-Lesson 01_Feature Extraction/02. Bag Of Words-A7M1z8yLl0w.mp4 4.0 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/02. IntroToRNNs Render-64HSG6HAfEI.mp4 4.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.0 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.mp4 3.9 MB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.mp4 3.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/04. Linear Boundaries-X-uMlsBi07k.mp4 3.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 3.8 MB
Part 04-Module 01-Lesson 01_Feature Extraction/07. GloVe-KK3PMIiIn8o.mp4 3.8 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/23. AIND RNN 3 2 2-R4ACff0v7Vk.mp4 3.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp4 3.8 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/16. AIND RNN 3 1 1-NMZ4fU2CuHg.mp4 3.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.7 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.6 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/10. LSTM Cell Solution-X4uA0dq_4jA.mp4 3.6 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/12. Error Functions-YfUUunxWIJw.mp4 3.5 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.5 MB
Part 03-Module 01-Lesson 01_Natural Language Processing/04. Feature Extraction-UgENzCmfFWE.mp4 3.5 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.mp4 3.4 MB
Part 02-Module 04-Lesson 04_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
Part 03-Module 01-Lesson 01_Natural Language Processing/01. Natural Language Processing-UQBxJzoCp-I.mp4 3.4 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/19. AIND RNN 3 1 4-XYljYztPvUs.mp4 3.4 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.3 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/18. AIND RNN 3 1 3-R1T3JXi_jKY.mp4 3.3 MB
Part 03-Module 01-Lesson 02_Text Processing/07. Tokenization-4Ieotbeh4u8.mp4 3.2 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 3.2 MB
Part 03-Module 01-Lesson 02_Text Processing/06. Normalization-eOV2UUY8vtM.mp4 3.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Layers-pg99FkXYK0M.mp4 3.1 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.02-pm.png 3.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/52. Outro-HZt6bf73bOo.mp4 3.0 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/35. Section & Course Summary-gYCL4RBvzRM.mp4 3.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.mp4 3.0 MB
Part 04-Module 01-Lesson 01_Feature Extraction/06. Word2Vec-7jjappzGRe0.mp4 3.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/34. Training Optimization-UiGKhx9pUYc.mp4 3.0 MB
Part 03-Module 01-Lesson 01_Natural Language Processing/03. Text Processing-pqheVyctkNQ.mp4 3.0 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png 2.9 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/04. Character-Wise RNN-dXl3eWCGLdU.mp4 2.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 2.9 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/22. AIND RNN 3 2 1-ZFWOCob2gZ8.mp4 2.9 MB
Part 05-Module 01-Lesson 01_Modeling/01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.mp4 2.9 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/12. Deploying a Bluemix Application-YF2SgUXzk9k.mp4 2.9 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/15. AIND RNN 3 0-jXdIx18dIa0.mp4 2.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.8 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.mp4 2.7 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/20. AIND RNN 3 1 5-6LgdU4avFSk.mp4 2.6 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.mp4 2.6 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/01. Introducing Jeremy-U7RmFpVevis.mp4 2.5 MB
Part 06-Module 01-Lesson 02_Sequence to Sequence/03. Applications seq2seq-tDJBDwriJYQ.mp4 2.5 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/36. Outro-LurBj_gmFwk.mp4 2.4 MB
Part 03-Module 01-Lesson 02_Text Processing/03. Capturing Text Data-Z4mnMN1ApG4.mp4 2.4 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/44. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/05. Sequence-Batching-Z4OiyU0Cldg.mp4 2.3 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.mp4 2.3 MB
Part 04-Module 01-Lesson 01_Feature Extraction/01. Feature Extraction-Bd6TJB8eVLQ.mp4 2.3 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/33. RNNs 4 5 RNN Properties- Graphical Models-LON9wniFUiE.mp4 2.2 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.mp4 2.2 MB
Part 02-Module 04-Lesson 04_Hyperparameters/02. Introduction-erwnzFD7AeE.mp4 2.2 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.mp4 2.2 MB
Part 03-Module 01-Lesson 02_Text Processing/10. Part-of-Speech Tagging-WFEu8bXI5OA.mp4 2.2 MB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/03. Grammar-Jw3dA7xmoQ4.mp4 2.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/47. Momentum-r-rYz_PEWC8.mp4 2.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.mp4 2.1 MB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/04. Creating Testing Sets-BRBbrNLz1ho.mp4 2.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.mp4 2.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/02. Classsification Example-Dh625piH7Z0.mp4 2.1 MB
Part 04-Module 01-Lesson 01_Feature Extraction/03. TF-IDF-XZBiBIRcACE.mp4 2.1 MB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.mp4 2.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/37. Testing-EeBZpb-PSac.mp4 2.0 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/27. Introduction to Section 4-xx4PxKWVmHo.mp4 2.0 MB
Part 03-Module 01-Lesson 02_Text Processing/09. Stop Word Removal-WAU_Ij0GJbw.mp4 2.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp4 1.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp4 1.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Multiclass Classification-uNTtvxwfox0.mp4 1.9 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/34. Technical Issues-6Bpu_XydW2k.mp4 1.9 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp4 1.9 MB
Part 03-Module 01-Lesson 02_Text Processing/01. Text Processing-6LO6I5M18PQ.mp4 1.8 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/13. Summarizing recursivity-l1H8dfGW2A4.mp4 1.7 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/49. Error Functions Around the World-34AAcTECu2A.mp4 1.7 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.mp4 1.7 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.7 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.mp4 1.7 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/26. 3 5 Summary-imv4cLtF38o.mp4 1.7 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp4 1.6 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/03. Classification Example-46PywnGa_cQ.mp4 1.6 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.mp4 1.6 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.5 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 1.5 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/14. Section 3 Introduction-VyE6NcPbX9Q.mp4 1.5 MB
Part 02-Module 04-Lesson 04_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp4 1.5 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
Part 05-Module 01-Lesson 01_Modeling/08. NLP Summary-B9ul8fsQYOA.mp4 1.4 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/05. Section 2 Introduction-behe53793wo.mp4 1.4 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.mp4 1.3 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/43. Vanishing Gradient-W_JJm_5syFw.mp4 1.3 MB
Part 03-Module 01-Lesson 01_Natural Language Processing/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 1.3 MB
Part 04-Module 01-Lesson 01_Feature Extraction/05. Word Embeddings-4mM_S9L2_JQ.mp4 1.2 MB
Part 03-Module 01-Lesson 01_Natural Language Processing/05. Modeling-P4w_2rkxBvE.mp4 1.2 MB
Part 03-Module 01-Lesson 02_Text Processing/11. Named Entity Recognition-QUQu2nsE7vE.mp4 1.2 MB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/21. 3 2 0 Example 2-2qYjlOV4Vi0.mp4 1.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/25. Continuous Perceptrons-07-JJ-aGEfM.mp4 1.1 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/27. Non-Linear Models-HWuBKCZsCo8.mp4 1.1 MB
Part 04-Module 01-Lesson 01_Feature Extraction/04. One-Hot Encoding-a0j1CDXFYZI.mp4 1.1 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.mp4 1.1 MB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.mp4 1.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.0 MB
Part 02-Module 01-Lesson 01_Deep Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.mp4 982.3 KB
Part 03-Module 01-Lesson 02_Text Processing/13. Summary-zKYEvRd2XmI.mp4 977.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. XOR Perceptron-TF83GfjYLdw.mp4 947.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/36. Learning Rate-TwJ8aSZoh2U.mp4 927.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/45. Local Minima-gF_sW_nY-xw.mp4 819.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/student-quiz.png 749.0 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.mp4 676.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/and-to-or.png 606.1 KB
Part 01-Module 01-Lesson 02_Bookworm/img/bookworm-hero2-1200x900.jpeg 471.3 KB
assets/img/udacimak.png 461.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.mp4 395.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/or-quiz.png 393.6 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/download-repo.png 366.6 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/img/arpan-c-circle.png 309.1 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/img/arpan-c-circle.png 309.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/all-ranks.png 308.5 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/layers.png 286.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/and-quiz.png 265.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 260.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-06.png 259.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-04.png 255.2 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-01.png 251.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-10.png 241.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-08.png 241.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-07.png 233.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-05.png 232.5 KB
assets/js/katex.min.js 231.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-03.png 228.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-09.png 228.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/full-padding-no-strides-transposed.gif 221.7 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/02-guide-how-transfer-learning-v3-02.png 219.3 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-topic-modeling.003.png 218.9 KB
Part 05_Modeling/Module 01_Modeling in NLP/Lesson 01_Modeling/data.json 215.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/xor.png 215.0 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/multi-layer.png 214.3 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-search-and-ranking.002.png 214.1 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/meme.png 209.0 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/meme.png 209.0 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-topic-modeling.004.png 207.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/img/watson-logo.png 190.3 KB
Part 01-Module 01-Lesson 02_Bookworm/img/watson-logo.png 190.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/img/mat-headshot.png 180.0 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/img/mat-headshot.png 180.0 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/img/mat-headshot.png 180.0 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.002.png 174.1 KB
Part 05-Module 01-Lesson 01_Modeling/02. Language Model.html 173.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/img/rnn9.png 169.9 KB
Discuss.FreeTutorials.Us.html 165.7 KB
Part 02_Introduction to Deep Learning/Module 01_Intro to Deep Learning/Lesson 01_Deep Neural Networks/data.json 159.8 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-topic-modeling.005.png 153.2 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-topic-modeling.006.png 149.5 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-language-model.006.png 148.4 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-submit.png 146.2 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-gpu.png 145.5 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-notebook.png 142.9 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.008.png 142.6 KB
assets/css/bootstrap.min.css 137.6 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-topic-modeling.008.png 137.5 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.007.png 136.3 KB
assets/js/plyr.polyfilled.min.js 126.2 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.004.png 124.3 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.005.png 120.8 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-language-model.005.png 119.7 KB
Part 02_Introduction to Deep Learning/Module 03_TensorFlow/Lesson 01_Intro to TensorFlow/data.json 115.4 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-language-model.007.png 115.4 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/img/linear-relationships.png 112.4 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-topic-modeling.002.png 108.5 KB
FreeCoursesOnline.Me.html 108.3 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.003.png 105.4 KB
FreeTutorials.Eu.html 102.2 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-language-model.002.png 102.1 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-search-and-ranking.003.png 99.5 KB
Part 02_Introduction to Deep Learning/Module 02_Convolutional Neural Networks/Lesson 01_Convolutional Neural Networks/data.json 98.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/xor-quiz.png 94.1 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-menu.png 94.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/summary.png 93.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/perceptronquiz.png 93.7 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-sentiment-analysis.002.png 93.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/regularization-quiz.png 87.9 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/tensorflow.png 85.3 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-new.png 85.2 KB
assets/js/jquery-3.3.1.min.js 84.9 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-jupyter.png 83.5 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.009.png 76.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-5.54.40-pm.png 71.4 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-sentiment-analysis.004-cropped.png 69.9 KB
assets/css/fonts/KaTeX_AMS-Regular.ttf 69.8 KB
assets/css/fonts/KaTeX_Main-Regular.ttf 68.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/convolution-schematic.gif 63.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/points.png 63.2 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/dropout-node.jpeg 62.7 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/cross-entropy-diagram.png 62.7 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-machine-translation.006.png 62.5 KB
assets/css/fonts/KaTeX_Main-Bold.ttf 60.3 KB
Part 05-Module 01-Lesson 01_Modeling/img/nlp-m1-l4-sentiment-analysis.003.png 59.4 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/notmnist.png 54.2 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/media/nmn.png 54.2 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/softmax-input-output.png 52.4 KB
assets/js/bootstrap.min.js 49.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/data.png 49.5 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/workspaces-terminal.png 46.9 KB
assets/css/fonts/KaTeX_Main-Italic.ttf 46.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/layer-1-grid.png 45.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-4.31.41-pm.png 44.9 KB
assets/js/jquery.mCustomScrollbar.concat.min.js 44.4 KB
assets/css/fonts/KaTeX_Main-BoldItalic.ttf 43.8 KB
Part 02_Introduction to Deep Learning/Module 04_Intro to Recurrent Networks/Lesson 01_Recurrent Neural Networks/data.json 43.7 KB
assets/css/jquery.mCustomScrollbar.min.css 41.8 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-4.26.22-pm.png 41.2 KB
assets/css/fonts/KaTeX_Math-Italic.ttf 40.5 KB
assets/css/fonts/KaTeX_AMS-Regular.woff 39.3 KB
assets/css/fonts/KaTeX_Math-BoldItalic.ttf 38.8 KB
assets/css/fonts/KaTeX_Main-Regular.woff 38.5 KB
Part 01_Introduction to Natural Language Processing/Module 01_Intro to NLP/Lesson 01_Intro to Natural Language Processing/data.json 38.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/maxpool.jpeg 37.1 KB
assets/css/fonts/KaTeX_Main-Bold.woff 35.9 KB
assets/css/fonts/KaTeX_Typewriter-Regular.ttf 35.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/grid-layer-1.png 35.3 KB
assets/css/fonts/KaTeX_Fraktur-Bold.ttf 35.1 KB
assets/css/fonts/KaTeX_Fraktur-Regular.ttf 33.8 KB
assets/css/fonts/KaTeX_SansSerif-Bold.ttf 33.2 KB
assets/css/fonts/KaTeX_AMS-Regular.woff2 32.4 KB
assets/css/fonts/KaTeX_Main-Regular.woff2 32.1 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/relu-network.png 31.1 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/session.png 30.9 KB
assets/css/fonts/KaTeX_SansSerif-Italic.ttf 30.6 KB
assets/css/fonts/KaTeX_Main-Bold.woff2 29.9 KB
assets/css/fonts/KaTeX_SansSerif-Regular.ttf 29.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/pooling-dims.png 29.2 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/conv-dims.png 28.6 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-4.27.58-pm.png 27.8 KB
Part 02_Introduction to Deep Learning/Module 04_Intro to Recurrent Networks/Lesson 04_Hyperparameters/data.json 26.8 KB
Part 06_NLP Supplementary/Module 01_NLP Supplementary/Lesson 02_Sequence to Sequence/data.json 26.6 KB
assets/css/fonts/KaTeX_Main-Italic.woff 26.6 KB
Part 02-Module 04-Lesson 04_Hyperparameters/img/f3iwvmld-400x400.jpg 26.4 KB
assets/css/fonts/KaTeX_Main-BoldItalic.woff 25.6 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/07. Quiz Mini-batch.html 25.0 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/weights-0-1-2.png 24.6 KB
assets/css/fonts/KaTeX_Script-Regular.ttf 24.3 KB
assets/css/plyr.css 23.6 KB
Part 05_Modeling/Module 02_Project Machine Translation/Lesson 01_Machine Translation/data.json 23.4 KB
assets/css/fonts/KaTeX_Math-Italic.woff 23.3 KB
assets/css/fonts/KaTeX_Fraktur-Bold.woff 22.8 KB
Part 03_NLP Fundamentals/Module 01_NLP Fundamentals/Lesson 02_Text Processing/data.json 22.7 KB
assets/css/fonts/KaTeX_Math-BoldItalic.woff 22.6 KB
assets/css/fonts/KaTeX_Main-Italic.woff2 22.5 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/img/sequence-to-sequence-unrolled-encoder-decoder.png 22.5 KB
assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.3 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/img/sequence-to-sequence-embedding-encoder-decoder.png 22.0 KB
Part 02_Introduction to Deep Learning/Module 04_Intro to Recurrent Networks/Lesson 02_Long Short-Term Memory Networks (LSTM)/data.json 21.9 KB
assets/css/fonts/KaTeX_Main-BoldItalic.woff2 21.7 KB
assets/css/katex.min.css 21.6 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/04. Quiz TensorFlow Linear Function.html 21.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. Perceptrons as Logical Operators.html 20.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/student-acceptance.png 20.5 KB
assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.4 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/mnist-012.png 20.2 KB
assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.0 KB
Part 05-Module 01-Lesson 01_Modeling/06. Machine Translation.html 20.0 KB
assets/css/fonts/KaTeX_Math-Italic.woff2 20.0 KB
assets/css/fonts/KaTeX_Math-BoldItalic.woff2 19.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/31. Keras.html 19.4 KB
assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.4 KB
assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.1 KB
assets/css/fonts/KaTeX_SansSerif-Bold.woff 18.7 KB
assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 18.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/25. Transfer Learning.html 18.3 KB
Part 02_Introduction to Deep Learning/Module 04_Intro to Recurrent Networks/Lesson 03_Implementing RNNs and LSTMs/data.json 17.8 KB
assets/css/fonts/KaTeX_SansSerif-Italic.woff 17.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt 17.7 KB
Part 05-Module 01-Lesson 01_Modeling/04. Topic Modeling.html 17.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/23. Gradient Descent.html 17.3 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt 17.2 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/two-layer-network.png 17.2 KB
assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.en.vtt 16.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/10. Perceptron Algorithm.html 16.7 KB
assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/14. Quiz Dimensionality.html 15.8 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt 15.8 KB
assets/css/fonts/KaTeX_SansSerif-Bold.woff2 15.6 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/08. Inputs.html 15.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/32. Mini Project Students Admissions in Keras.html 15.2 KB
Part 05-Module 02-Lesson 01_Machine Translation/02. Introduction to GPU Workspaces.html 15.1 KB
assets/css/fonts/KaTeX_SansSerif-Italic.woff2 14.9 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/07. Sentiment RNN 2-V9YGGjmoHS0.zh-CN.vtt 14.7 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/13. Save and Restore TensorFlow Models.html 14.4 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt 14.3 KB
Part 06_NLP Supplementary/Module 01_NLP Supplementary/Lesson 01_Embeddings and Word2Vec/data.json 14.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/11. Getting Started with Watson-9LTS9JfGNzM.en.vtt 14.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Neural Network Architecture.html 14.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/24. Visualizing CNNs (Part 2).html 13.9 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/05. Building The RNN 1-XTD6slf64fM.en.vtt 13.9 KB
assets/css/fonts/KaTeX_SansSerif-Regular.woff2 13.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. Softmax.html 13.6 KB
assets/css/fonts/KaTeX_Script-Regular.woff 13.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Backpropagation.html 13.4 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/15. Quiz TensorFlow Dropout.html 13.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. Perceptron Trick.html 13.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/51. Mini Project IMDB Data in Keras.html 13.1 KB
assets/css/fonts/KaTeX_Size1-Regular.ttf 12.9 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/08. Epochs.html 12.7 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/11. Getting Started with Watson-9LTS9JfGNzM.zh-CN.vtt 12.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/02. Applications of CNNs.html 12.4 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt 12.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.pt-BR.vtt 12.2 KB
assets/css/fonts/KaTeX_Size2-Regular.ttf 12.1 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt 12.1 KB
assets/css/fonts/KaTeX_Script-Regular.woff2 12.0 KB
assets/css/fonts/KaTeX_Caligraphic-Bold.woff 11.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. Cross-Entropy 2.html 11.8 KB
Part 02-Module 04-Lesson 04_Hyperparameters/03. Learning Rate-HLMjeDez7ps.en.vtt 11.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood.html 11.7 KB
assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous.html 11.6 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/img/sequence-to-sequence-high-level-encoder-decoder.png 11.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/13. Convolutional Layers in Keras.html 11.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt 11.4 KB
Part 02-Module 04-Lesson 04_Hyperparameters/08. RNN Hyperparameters.html 11.3 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/12. Deep Neural Network in TensorFlow.html 11.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Maximizing Probabilities.html 11.1 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/14. [Preview] Project Bookworm.html 11.1 KB
assets/css/fonts/KaTeX_Size4-Regular.ttf 11.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.pt-BR.vtt 11.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.en.vtt 11.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. Logistic Regression.html 11.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/13. Log-loss Error Function.html 11.0 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN-KPCMn_jg2oY.pt-BR.vtt 10.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. Feedforward.html 10.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/02. Classification Problems 1.html 10.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/05. Higher Dimensions.html 10.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/21. Multi-Class Cross Entropy.html 10.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/06. Perceptrons.html 10.4 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/09. Lab TensorFlow Neural Network.html 10.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/40. Regularization.html 10.4 KB
assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.3 KB
Part 02_Introduction to Deep Learning/Module 04_Intro to Recurrent Networks/Lesson 05_Sentiment Prediction with RNN/data.json 10.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/008. Mini Project Training an MLP on MNIST.html 10.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/08. Mini Project Training an MLP on MNIST.html 10.3 KB
Part 02-Module 04-Lesson 04_Hyperparameters/03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/16. Max Pooling Layers in Keras.html 10.2 KB
assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/44. Other Activation Functions.html 10.1 KB
Part 02-Module 04-Lesson 04_Hyperparameters/03. Learning Rate-HLMjeDez7ps.zh-CN.vtt 10.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/48. Optimizers in Keras.html 10.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/17. CNNs for Image Classification.html 10.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/04. Linear Boundaries.html 10.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.en.vtt 10.0 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt 9.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/35. Batch vs Stochastic Gradient Descent.html 9.9 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.zh-CN.vtt 9.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/42. Dropout.html 9.8 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/14. Finetuning.html 9.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.zh-CN.vtt 9.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/09. Recursive or not Part 2.html 9.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/24. Perceptron vs Gradient Descent.html 9.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/37. Testing.html 9.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/12. A simple model for my savings account balance-JQ2Nzzxx5oQ.en.vtt 9.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/08. Recursive or not Part 1.html 9.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/10. Recursive or not Part 3.html 9.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/19. Cross-Entropy 1.html 9.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/13. Error Functions-jfKShxGAbok.en.vtt 9.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/49. Error Functions Around the World.html 9.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/38. Overfitting and Underfitting.html 9.4 KB
Part 04_Feature Extraction/Module 01_Feature Extraction/Lesson 01_Feature Extraction/data.json 9.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/03. Motivation for RNNs.html 9.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/03. Classification Problems 2.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/25. Continuous Perceptrons.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/07. Why Neural Networks.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/34. Training Optimization.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/39. Early Stopping.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/11. Non-Linear Regions.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/43. Vanishing Gradient.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/27. Non-Linear Models.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/16. One-Hot Encoding.html 9.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/09. Local Connectivity-z9wiDg0w-Dc.pt-BR.vtt 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/12. Error Functions.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/26. Non-linear Data.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/36. Learning Rate Decay.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/41. Regularization 2.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/46. Random Restart.html 9.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/23. Visualizing CNNs (Part 1).html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/45. Local Minima.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/50. Mini Project Intro.html 9.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/47. Momentum.html 9.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/52. Outro.html 9.2 KB
Part 01_Introduction to Natural Language Processing/Module 01_Intro to NLP/Lesson 02_Bookworm/data.json 9.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/28. Coding up a crazy recursive sequence.html 9.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/01. Introduction.html 9.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/13. Error Functions-jfKShxGAbok.pt-BR.vtt 9.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/33. Lesson Plan Week 2.html 9.1 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/11. Quiz TensorFlow ReLUs.html 9.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/09. Local Connectivity-z9wiDg0w-Dc.en.vtt 9.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/codecogseqn-60-2.png 8.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/20. Image Augmentation in Keras.html 8.9 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/05. Counting Words.html 8.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/18. CNNs in Keras Practical Example.html 8.8 KB
Part 05-Module 01-Lesson 01_Modeling/img/2d-simplex.svg 8.8 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/34. RNN Technical Issues.html 8.8 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/06. Quiz TensorFlow Cross Entropy.html 8.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/41. Regularization-ndYnUrx8xvs.pt-BR.vtt 8.8 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN-KPCMn_jg2oY.zh-CN.vtt 8.7 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.zh-CN.vtt 8.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/12. A simple model for my savings account balance-JQ2Nzzxx5oQ.zh-CN.vtt 8.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/29. Flaws with the FNN approach-sUXrzpAkF9A.en.vtt 8.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/02. Sentiment Prediction-uGN3rZJRiMY.en.vtt 8.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/07. Simple recursive examples.html 8.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/05. Categorical Cross-Entropy.html 8.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/01. Introducing Jeremy.html 8.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/26. Transfer Learning in Keras.html 8.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/20. Using a regressor as a generative model.html 8.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/20. Image Augmentation in Keras-odStujZq3GY.pt-BR.vtt 8.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/03. How Computers Interpret Images.html 8.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/11. Ways of thinking about recursivity.html 8.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/04. Vanilla supervised learners and structured input.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/12. Driving a recursive sequence.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/31. Formulating a Least Squares loss.html 8.4 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/05. Quiz TensorFlow Softmax.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/06. Motivating and modeling recursive sequences.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/27. Section 4 Injecting Recursivity into Learners the Smart Way.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/33. RNNs and graphical models.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/14. Section 3 Injecting recursivity into a learner (the lazy wa.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/17. Setting up the example.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/11. Graphical model representations of recursive sequences-OS9yQCTzCkg.en.vtt 8.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/02. Structured Languages.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/05. Section 2 Motivating and Modelling Recursive Sequences.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/24. Interesting twists on the second example.html 8.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.en.vtt 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/30. RNN fundamental derivations.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/35. Section and course summary .html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/29. Flaws with the FNN approach.html 8.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/13. Error Functions-jfKShxGAbok.zh-CN.vtt 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/32. RNNs and memory.html 8.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/15. Injecting Recursivity into a Learner (the lazy way).html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/02. Section 1 Motivation for RNNs.html 8.3 KB
Part 05-Module 01-Lesson 01_Modeling/03. Sentiment Analysis.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/13. Section summary.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/18. Windowing the example sequence.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/23. Wrapping up the second example.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/22. Setting up the second example.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/19. Using Keras for fitting.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/25. Real time series example.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/21. A second example.html 8.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/22. Groundbreaking CNN Architectures.html 8.3 KB
Part 03-Module 01-Lesson 02_Text Processing/05. Cleaning-qawXp9DPV6I.en.vtt 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/16. A first example.html 8.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/26. Section summary.html 8.3 KB
Part 05-Module 02-Lesson 01_Machine Translation/Project Rubric - Machine Translation.html 8.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/36. Outro.html 8.2 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/03. Hello, Tensor World!.html 8.2 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/20. Image Augmentation in Keras-odStujZq3GY.en.vtt 8.2 KB
assets/css/fonts/KaTeX_Size3-Regular.ttf 8.2 KB
Part 03-Module 01-Lesson 02_Text Processing/08. Quiz Split Sentences.html 8.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.1 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/02. Installing TensorFlow.html 8.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/41. Regularization-ndYnUrx8xvs.en.vtt 8.1 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/07. Simple recursive examples-F4-CBqMsd_Y.en.vtt 8.1 KB
Part 05-Module 02-Lesson 01_Machine Translation/Project Description - Machine Translation.html 8.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.en.vtt 8.0 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/07. Sequence to sequence in TensorFlow.html 8.0 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt 8.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/codecogseqn-43.gif 8.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/21. Mini Project Image Augmentation in Keras.html 7.9 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/29. Flaws with the FNN approach-sUXrzpAkF9A.zh-CN.vtt 7.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers (Part 2).html 7.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/19. Mini Project CNNs in Keras.html 7.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/15. Build The Network And Results-hu8iMMqajmQ.en.vtt 7.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt 7.8 KB
Part 02-Module 04-Lesson 04_Hyperparameters/06. Number of Training Iterations Epochs.html 7.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/06. Model Validation in Keras.html 7.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/04. MLPs for Image Classification.html 7.8 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/04. Unstructured Text.html 7.7 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/10. NLP Services.html 7.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/15. Build The Network And Results-hu8iMMqajmQ.pt-BR.vtt 7.6 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/01. Intro.html 7.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/09. Local Connectivity-z9wiDg0w-Dc.zh-CN.vtt 7.6 KB
Part 05_Modeling/Module 02_Project Machine Translation/Lesson 01_Machine Translation/rubric.json 7.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/11. Graphical model representations of recursive sequences-OS9yQCTzCkg.zh-CN.vtt 7.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/10. Convolutional Layers-h5R_JvdUrUI.pt-BR.vtt 7.6 KB
Course Index.rar 7.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.5 KB
Part 03-Module 01-Lesson 02_Text Processing/05. Cleaning-qawXp9DPV6I.zh-CN.vtt 7.5 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.zh-CN.vtt 7.4 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/10. Two-layer Neural Network.html 7.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/007. When do MLPs (not) work well .html 7.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/07. When do MLPs (not) work well .html 7.4 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/03. LSTMs-RYbSHogZetc.pt.vtt 7.4 KB
Part 01-Module 01-Lesson 02_Bookworm/03. Tasks.html 7.3 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt 7.3 KB
Part 03-Module 01-Lesson 02_Text Processing/04. Quiz Read Text Files.html 7.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/15. Pooling Layers.html 7.3 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/06. Preprocessing-ktQW6p9pOS4.en.vtt 7.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/01. Introducing Alexis.html 7.2 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/10. Convolutional Layers-h5R_JvdUrUI.en.vtt 7.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/07. Simple recursive examples-F4-CBqMsd_Y.zh-CN.vtt 7.1 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/03. Grammar.html 7.1 KB
Part 02-Module 04-Lesson 04_Hyperparameters/04. Learning Rate.html 7.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/10. Convolutional Layers (Part 1).html 7.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/03. LSTMs-RYbSHogZetc.en.vtt 7.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/09. Local Connectivity.html 7.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/12. Stride and Padding.html 7.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/20. Image Augmentation in Keras-odStujZq3GY.zh-CN.vtt 7.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.en.vtt 7.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/41. Regularization-ndYnUrx8xvs.zh-CN.vtt 7.0 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/10. Quiz.html 7.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/index.html 6.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/15. Build The Network And Results-hu8iMMqajmQ.zh-CN.vtt 6.8 KB
assets/css/fonts/KaTeX_Size1-Regular.woff 6.8 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/06. Preprocessing-ktQW6p9pOS4.pt-BR.vtt 6.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/26. Transfer Learning in Keras-HsIAznMM1LA.pt-BR.vtt 6.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt 6.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/04. Vanilla learning and structured input-oAt0eYD5_Tc.en.vtt 6.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/diagonal-line-2.png 6.6 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/02. Embeddings Intro.html 6.6 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/11. Getting Started with Watson.html 6.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.5 KB
assets/css/fonts/KaTeX_Size2-Regular.woff 6.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.pt-BR.vtt 6.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.5 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/03. LSTMs-RYbSHogZetc.zh-CN.vtt 6.5 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/06. Preprocessing-ktQW6p9pOS4.zh-CN.vtt 6.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/index.html 6.4 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/06. Training The Network-nknJ3Xu3ld0.en.vtt 6.4 KB
assets/css/fonts/KaTeX_Size4-Regular.woff 6.3 KB
Part 05-Module 01-Lesson 01_Modeling/05. Search and Ranking.html 6.3 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt 6.3 KB
Part 02-Module 04-Lesson 04_Hyperparameters/09. RNN Hyperparameters.html 6.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/09. LSTM Cell-ajC-5uWB8S4.pt-BR.vtt 6.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/03. Motivation for RNNs-vPhD02WxMk8.en.vtt 6.2 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/01. Intro.html 6.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/18. CNNs in Keras Practical Example-faFvmGDwXX0.pt-BR.vtt 6.1 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.zh-CN.vtt 6.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/26. Transfer Learning in Keras-HsIAznMM1LA.en.vtt 6.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/10. Convolutional Layers-h5R_JvdUrUI.zh-CN.vtt 6.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/06. Model Validation in Keras-002jNXSM6CU.pt-BR.vtt 6.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/09. LSTM Cell-ajC-5uWB8S4.en.vtt 6.1 KB
Part 02-Module 04-Lesson 04_Hyperparameters/10. Sources & References.html 6.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.en.vtt 6.0 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.en.vtt 6.0 KB
Part 02-Module 04-Lesson 04_Hyperparameters/07. Number of Hidden Units Layers.html 6.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/12. Deploying a Bluemix Application.html 6.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/03. How Computers Interpret Images-V4f6p6uRhu8.pt-BR.vtt 5.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/06. Character-wise RNN Notebook.html 5.9 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/04. Vanilla learning and structured input-oAt0eYD5_Tc.zh-CN.vtt 5.9 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/01. Intro to LSTM.html 5.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt 5.9 KB
Part 03-Module 01-Lesson 02_Text Processing/06. Normalization.html 5.9 KB
Part 03_NLP Fundamentals/Module 01_NLP Fundamentals/Lesson 01_Natural Language Processing/data.json 5.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/02. Review of RNNs.html 5.9 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/01. Introducing Jay Alammar.html 5.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/16. RNN Resources.html 5.9 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/06. Context Is Everything.html 5.8 KB
Part 03-Module 01-Lesson 02_Text Processing/03. Capturing Text Data.html 5.8 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.en.vtt 5.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/15. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.8 KB
Part 05-Module 02-Lesson 01_Machine Translation/img/jupyter-logo.png 5.8 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. The Use Gate.html 5.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/img/diagonal-line-1.png 5.8 KB
Part 03-Module 01-Lesson 02_Text Processing/10. Part-of-Speech Tagging.html 5.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN.html 5.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/11. RNN Output-RkanDkcrTxs.en.vtt 5.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. The Learn Gate.html 5.7 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/02. Jay's Introduction-HPOzAlXhuxQ.en.vtt 5.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt 5.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/15. Build the Network Solution.html 5.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt 5.7 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/26. Transfer Learning in Keras-HsIAznMM1LA.zh-CN.vtt 5.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/01. Intro.html 5.7 KB
assets/css/fonts/KaTeX_Size1-Regular.woff2 5.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/13. Output and Loss Solutions.html 5.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt 5.7 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt 5.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/08. Batching Data Solution.html 5.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. The Forget Gate.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/11. RNN Output-RkanDkcrTxs.pt-BR.vtt 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/04. Character-wise RNNs.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/10. LSTM Cell Solution.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/05. Sequence Batching.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/14. Build the Network.html 5.6 KB
Part 03-Module 01-Lesson 02_Text Processing/05. Cleaning.html 5.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt 5.6 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/06. Preprocessing.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/12. Network Loss.html 5.6 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/02. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt 5.6 KB
Part 02-Module 04-Lesson 04_Hyperparameters/03. Learning Rate.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/11. RNN Output.html 5.6 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other architectures.html 5.6 KB
Part 03-Module 01-Lesson 02_Text Processing/02. Coding Exercises.html 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/09. LSTM Cell.html 5.6 KB
Part 05-Module 01-Lesson 01_Modeling/07. NLP Resources.html 5.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/25. 3 4 Example 4-UfOUisfQPZc.en.vtt 5.6 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/03. Review of LSTMs.html 5.6 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. The Remember Gate.html 5.5 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/09. Further Reading.html 5.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/06. How do we model an ordered sequence-LYcB8iV2bGE.en.vtt 5.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt 5.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/03. Motivation for RNNs-vPhD02WxMk8.zh-CN.vtt 5.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/06. Model Validation in Keras-002jNXSM6CU.en.vtt 5.5 KB
Part 03-Module 01-Lesson 02_Text Processing/07. Tokenization.html 5.5 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/04. Architecture encoder decoder-dkHdEAJnV_w.en.vtt 5.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/13. Towards Augmented Intelligence.html 5.4 KB
assets/css/fonts/KaTeX_Size2-Regular.woff2 5.4 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/06. Training The Network-nknJ3Xu3ld0.zh-CN.vtt 5.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/07. NLP and IBM Watson.html 5.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/15. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt 5.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.zh-CN.vtt 5.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/08. Applications of NLP.html 5.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.en.vtt 5.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt 5.4 KB
Part 02-Module 04-Lesson 04_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/01. NLP Overview.html 5.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.zh-CN.vtt 5.3 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/03. Data Preprocessing-h4-LwZU9_k8.en.vtt 5.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.3 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/09. Challenges in NLP.html 5.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/09. LSTM Cell-ajC-5uWB8S4.zh-CN.vtt 5.3 KB
Part 02-Module 04-Lesson 04_Hyperparameters/05. Minibatch Size.html 5.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Combinando modelos-Boy3zHVrWB4.en.vtt 5.3 KB
Part 02-Module 04-Lesson 04_Hyperparameters/01. Introducing Jay.html 5.3 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/01. Additional NLP Lessons.html 5.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/index.html 5.3 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/10. Sequence to Sequence in TensorFlow.html 5.2 KB
Part 03-Module 01-Lesson 02_Text Processing/12. Stemming and Lemmatization.html 5.2 KB
Part 03-Module 01-Lesson 02_Text Processing/11. Named Entity Recognition.html 5.2 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.en.vtt 5.2 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting it All Together.html 5.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. Error Function-V5kkHldUlVU.pt-BR.vtt 5.2 KB
Part 03-Module 01-Lesson 02_Text Processing/09. Stop Word Removal.html 5.2 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. Architecture of LSTM.html 5.2 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/05. Architecture in More Depth-rdAo4MqLbEk.en.vtt 5.2 KB
Part 03-Module 01-Lesson 02_Text Processing/01. Text Processing.html 5.2 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/02. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.en.vtt 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building the Network Solution.html 5.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/11. RNN Output-RkanDkcrTxs.zh-CN.vtt 5.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. Basics of LSTM.html 5.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/05. Categorical Cross-Entropy-3sDYifgjFck.pt-BR.vtt 5.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN vs LSTM.html 5.1 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/05. Architectures in More Depth.html 5.1 KB
Part 03-Module 01-Lesson 02_Text Processing/13. Summary.html 5.1 KB
Part 04-Module 01-Lesson 01_Feature Extraction/08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt 5.1 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/04. Architectures.html 5.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/12. Outro LSTM.html 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec.html 5.1 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/02. Jay Introduction.html 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution.html 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building the Network.html 5.1 KB
Part 05-Module 02-Lesson 01_Machine Translation/01. Overview.html 5.1 KB
Part 05-Module 02-Lesson 01_Machine Translation/03. NLP Machine Translation Workspace.html 5.1 KB
assets/css/fonts/KaTeX_Size4-Regular.woff2 5.1 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/03. Applications.html 5.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt 5.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling.html 5.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution.html 5.0 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results.html 5.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.0 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/04. Creating Testing Sets.html 5.0 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.zh-CN.vtt 5.0 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches.html 5.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/32. RNNs 4 4 RNN Properties- Memory-0B8O2eNv2DY.en.vtt 5.0 KB
Part 02-Module 04-Lesson 04_Hyperparameters/02. Introduction.html 5.0 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/05. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt 5.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/25. 3 4 Example 4-UfOUisfQPZc.zh-CN.vtt 5.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/10. NLP Services-vTupzLkpxJU.en.vtt 5.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt 5.0 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.pt-BR.vtt 5.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt 5.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/06. How do we model an ordered sequence-LYcB8iV2bGE.zh-CN.vtt 5.0 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/04. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 4.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/03. How Computers Interpret Images-V4f6p6uRhu8.zh-CN.vtt 4.9 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/05. Building the RNN.html 4.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. Error Function-V5kkHldUlVU.en.vtt 4.9 KB
Part 01-Module 01-Lesson 02_Bookworm/01. Overview.html 4.8 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/04. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt 4.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt 4.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.en.vtt 4.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/18. CNNs in Keras Practical Example-faFvmGDwXX0.zh-CN.vtt 4.8 KB
Part 04-Module 01-Lesson 01_Feature Extraction/08. Embeddings for Deep Learning.html 4.8 KB
Part 02-Module 04-Lesson 04_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.8 KB
Part 02-Module 04-Lesson 04_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt 4.8 KB
Part 03-Module 01-Lesson 02_Text Processing/12. Stemming And Lemmatization-7Gjf81u5hmw.en.vtt 4.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/06. Model Validation in Keras-002jNXSM6CU.zh-CN.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/02. Bag Of Words-A7M1z8yLl0w.en.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/01. Feature Extraction.html 4.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt 4.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/06. Training the Network.html 4.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/04. One-Hot Encoding.html 4.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/42. Dropout-Ty6K6YiGdBs.en.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/08. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/05. Word Embeddings.html 4.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/02. Sentiment RNN.html 4.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/03. Data Preprocessing.html 4.7 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/02. Bag of Words.html 4.7 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/04. Feature Extraction.html 4.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/07. Solutions.html 4.7 KB
Part 05-Module 01-Lesson 01_Modeling/01. Modeling.html 4.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt 4.7 KB
assets/css/fonts/KaTeX_Size3-Regular.woff 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/06. Word2Vec.html 4.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/42. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.7 KB
Part 04-Module 01-Lesson 01_Feature Extraction/03. TF-IDF.html 4.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.6 KB
Part 04-Module 01-Lesson 01_Feature Extraction/07. GloVe.html 4.6 KB
Part 04-Module 01-Lesson 01_Feature Extraction/09. t-SNE.html 4.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/15. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.6 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/03. Text Processing.html 4.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.6 KB
Part 05-Module 01-Lesson 01_Modeling/08. Summary.html 4.6 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.6 KB
Part 01-Module 01-Lesson 02_Bookworm/02. Getting Started.html 4.6 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt 4.6 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/05. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt 4.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/12. Stride and Padding-0r9o8hprDXQ.pt-BR.vtt 4.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt 4.5 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.pt-BR.vtt 4.5 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.en.vtt 4.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt 4.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/32. RNNs 4 4 RNN Properties- Memory-0B8O2eNv2DY.zh-CN.vtt 4.5 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/02. IntroToRNNs Render-64HSG6HAfEI.en-US.vtt 4.5 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/03. Data Preprocessing-h4-LwZU9_k8.zh-CN.vtt 4.4 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/02. How NLP Pipelines Work.html 4.4 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/01. NLP and Pipelines.html 4.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/10. NLP Services-vTupzLkpxJU.zh-CN.vtt 4.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt 4.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/12. Stride and Padding-0r9o8hprDXQ.en.vtt 4.4 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/07. Natural Language Processing-sQiURKPFXNM.en.vtt 4.4 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/02. IntroToRNNs Render-64HSG6HAfEI.pt.vtt 4.4 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.pt-BR.vtt 4.4 KB
Part 01-Module 01-Lesson 02_Bookworm/04. Bookworm (Optional).html 4.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt 4.4 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.en.vtt 4.4 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/05. Modeling.html 4.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/08. Batching Data Solution-o3nBxHJLQcc.pt-BR.vtt 4.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/08. Batching Data Solution-o3nBxHJLQcc.en.vtt 4.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt 4.3 KB
Part 03-Module 01-Lesson 02_Text Processing/12. Stemming And Lemmatization-7Gjf81u5hmw.zh-CN.vtt 4.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/22. Groundbreaking CNN Architectures-ddrB-mhMfkY.pt-BR.vtt 4.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt 4.2 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/05. Categorical Cross-Entropy-3sDYifgjFck.zh-CN.vtt 4.2 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.2 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.2 KB
Part 04-Module 01-Lesson 01_Feature Extraction/07. GloVe-KK3PMIiIn8o.en.vtt 4.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt 4.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. Error Function-V5kkHldUlVU.zh-CN.vtt 4.1 KB
Part 04-Module 01-Lesson 01_Feature Extraction/02. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt 4.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.zh-CN.vtt 4.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt 4.1 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/index.html 4.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt 4.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/14. Build The Network-RVNjDlWTBQU.en.vtt 4.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/index.html 4.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/04. MLPs For Image Classification-TIFStebu530.pt-BR.vtt 4.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/42. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.en.vtt 4.1 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.pt-BR.vtt 4.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/07. Natural Language Processing-sQiURKPFXNM.zh-CN.vtt 4.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt 4.0 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/14. Build The Network-RVNjDlWTBQU.pt-BR.vtt 4.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/index.html 4.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/23. Gradient Descent-rhVIF-nigrY.pt-BR.vtt 4.0 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt 3.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/02. IntroToRNNs Render-64HSG6HAfEI.zh-CN.vtt 3.9 KB
Part 02-Module 04-Lesson 04_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 3.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/23. Visualizing CNNs-mnqS_EhEZVg.en.vtt 3.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/04. Linear Boundaries-X-uMlsBi07k.en.vtt 3.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/23. Gradient Descent-rhVIF-nigrY.en.vtt 3.9 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/07. When do MLPs (not) work well-deMeuLdZN3Q.pt-BR.vtt 3.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/23. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt 3.8 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.zh-CN.vtt 3.8 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/23. AIND RNN 3 2 2-R4ACff0v7Vk.en.vtt 3.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/04. MLPs For Image Classification-TIFStebu530.en.vtt 3.8 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/04. Feature Extraction-UgENzCmfFWE.en.vtt 3.8 KB
Part 03-Module 01-Lesson 02_Text Processing/index.html 3.8 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.zh-CN.vtt 3.8 KB
assets/css/fonts/KaTeX_Size3-Regular.woff2 3.8 KB
assets/css/styles.css 3.8 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/12. Stride and Padding-0r9o8hprDXQ.zh-CN.vtt 3.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/index.html 3.7 KB
Part 02-Module 04-Lesson 04_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/08. Batching Data Solution-o3nBxHJLQcc.zh-CN.vtt 3.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/16. AIND RNN 3 1 1-NMZ4fU2CuHg.en.vtt 3.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt 3.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/35. Section & Course Summary-gYCL4RBvzRM.en.vtt 3.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt 3.7 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/04. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt 3.7 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/index.html 3.7 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/index.html 3.7 KB
Part 02-Module 04-Lesson 04_Hyperparameters/index.html 3.7 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.en.vtt 3.6 KB
Part 02-Module 04-Lesson 04_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt 3.6 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/07. When do MLPs (not) work well-deMeuLdZN3Q.en.vtt 3.6 KB
Part 04-Module 01-Lesson 01_Feature Extraction/07. GloVe-KK3PMIiIn8o.zh-CN.vtt 3.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt 3.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/01. Introduction-ZWRZvOXiC28.en.vtt 3.5 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/22. Groundbreaking CNN Architectures-ddrB-mhMfkY.zh-CN.vtt 3.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.en.vtt 3.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt 3.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/23. AIND RNN 3 2 2-R4ACff0v7Vk.zh-CN.vtt 3.5 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/13. Output And Loss Solutions-CT8hcU7FmGc.en.vtt 3.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt 3.5 KB
Part 04-Module 01-Lesson 01_Feature Extraction/index.html 3.5 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/14. Build The Network-RVNjDlWTBQU.zh-CN.vtt 3.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.zh-CN.vtt 3.4 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/04. MLPs For Image Classification-TIFStebu530.zh-CN.vtt 3.4 KB
Part 04-Module 01-Lesson 01_Feature Extraction/06. Word2Vec-7jjappzGRe0.en.vtt 3.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/16. AIND RNN 3 1 1-NMZ4fU2CuHg.zh-CN.vtt 3.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Layers-pg99FkXYK0M.en.vtt 3.4 KB
Part 05-Module 01-Lesson 01_Modeling/index.html 3.4 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/index.html 3.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/35. Section & Course Summary-gYCL4RBvzRM.zh-CN.vtt 3.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt 3.4 KB
Part 05-Module 02-Lesson 01_Machine Translation/index.html 3.3 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/04. Feature Extraction-UgENzCmfFWE.zh-CN.vtt 3.3 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.zh-CN.vtt 3.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.3 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/23. Visualizing CNNs-mnqS_EhEZVg.zh-CN.vtt 3.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/04. Character-Wise RNN-dXl3eWCGLdU.en.vtt 3.3 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/13. Towards Augmented Intelligence-6y2B8VKoGTw.en.vtt 3.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/19. AIND RNN 3 1 4-XYljYztPvUs.en.vtt 3.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.zh-CN.vtt 3.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Layers-pg99FkXYK0M.pt-BR.vtt 3.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt 3.3 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/index.html 3.2 KB
Part 03-Module 01-Lesson 02_Text Processing/06. Normalization-eOV2UUY8vtM.en.vtt 3.2 KB
Part 02-Module 04-Lesson 04_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.2 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/13. Output And Loss Solutions-CT8hcU7FmGc.pt-BR.vtt 3.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/15. AIND RNN 3 0-jXdIx18dIa0.en.vtt 3.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/18. AIND RNN 3 1 3-R1T3JXi_jKY.en.vtt 3.2 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/12. Network Loss-itu-uNK4brc.pt-BR.vtt 3.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt 3.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/10. LSTM Cell Solution-X4uA0dq_4jA.en.vtt 3.1 KB
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/07. When do MLPs (not) work well-deMeuLdZN3Q.zh-CN.vtt 3.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/01. Introduction-ZWRZvOXiC28.zh-CN.vtt 3.1 KB
Part 01-Module 01-Lesson 02_Bookworm/index.html 3.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/12. Network Loss-itu-uNK4brc.en.vtt 3.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/10. LSTM Cell Solution-X4uA0dq_4jA.pt-BR.vtt 3.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/13. Output And Loss Solutions-CT8hcU7FmGc.zh-CN.vtt 3.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Layers-pg99FkXYK0M.zh-CN.vtt 3.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/19. AIND RNN 3 1 4-XYljYztPvUs.zh-CN.vtt 3.0 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/04. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt 3.0 KB
Part 02-Module 04-Lesson 04_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt 3.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/13. Towards Augmented Intelligence-6y2B8VKoGTw.zh-CN.vtt 3.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.en.vtt 3.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.en.vtt 2.9 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/15. AIND RNN 3 0-jXdIx18dIa0.zh-CN.vtt 2.9 KB
Part 03-Module 01-Lesson 02_Text Processing/07. Tokenization-4Ieotbeh4u8.en.vtt 2.9 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 2.9 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/18. AIND RNN 3 1 3-R1T3JXi_jKY.zh-CN.vtt 2.9 KB
Part 03-Module 01-Lesson 02_Text Processing/06. Normalization-eOV2UUY8vtM.zh-CN.vtt 2.9 KB
Part 04-Module 01-Lesson 01_Feature Extraction/06. Word2Vec-7jjappzGRe0.zh-CN.vtt 2.8 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/10. LSTM Cell Solution-X4uA0dq_4jA.zh-CN.vtt 2.8 KB
Part 02-Module 04-Lesson 04_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt 2.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/12. Network Loss-itu-uNK4brc.zh-CN.vtt 2.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/02. Classsification Example-Dh625piH7Z0.en.vtt 2.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/47. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/44. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt 2.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt 2.7 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.en.vtt 2.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.en.vtt 2.6 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.en.vtt 2.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/20. AIND RNN 3 1 5-6LgdU4avFSk.en.vtt 2.6 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/03. Applications seq2seq-tDJBDwriJYQ.en.vtt 2.6 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/03. Text Processing-pqheVyctkNQ.en.vtt 2.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.en.vtt 2.6 KB
Part 03-Module 01-Lesson 02_Text Processing/07. Tokenization-4Ieotbeh4u8.zh-CN.vtt 2.6 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/22. AIND RNN 3 2 1-ZFWOCob2gZ8.en.vtt 2.6 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.en.vtt 2.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/44. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt 2.5 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/33. RNNs 4 5 RNN Properties- Graphical Models-LON9wniFUiE.en.vtt 2.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/02. Classsification Example-Dh625piH7Z0.pt-BR.vtt 2.5 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt 2.5 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/03. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt 2.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/47. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.pt-BR.vtt 2.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt 2.5 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/22. AIND RNN 3 2 1-ZFWOCob2gZ8.zh-CN.vtt 2.4 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.4 KB
Part 06-Module 01-Lesson 02_Sequence to Sequence/03. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/37. Testing-EeBZpb-PSac.en.vtt 2.4 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.zh-CN.vtt 2.4 KB
Part 04-Module 01-Lesson 01_Feature Extraction/03. TF-IDF-XZBiBIRcACE.en.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/37. Testing-EeBZpb-PSac.pt-BR.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/02. Classsification Example-Dh625piH7Z0.zh-CN.vtt 2.4 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt 2.4 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.pt-BR.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt 2.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/20. AIND RNN 3 1 5-6LgdU4avFSk.zh-CN.vtt 2.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/44. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.3 KB
Part 02-Module 04-Lesson 04_Hyperparameters/02. Introduction-erwnzFD7AeE.en.vtt 2.3 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/05. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt 2.3 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.en.vtt 2.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt 2.3 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/03. Text Processing-pqheVyctkNQ.zh-CN.vtt 2.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.en.vtt 2.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt 2.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.en.vtt 2.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/33. RNNs 4 5 RNN Properties- Graphical Models-LON9wniFUiE.zh-CN.vtt 2.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/47. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.2 KB
Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.zh-CN.vtt 2.2 KB
Part 04-Module 01-Lesson 01_Feature Extraction/09. T-SNE-xxcK8oZ6_WE.en.vtt 2.2 KB
Part 02-Module 04-Lesson 04_Hyperparameters/02. Introduction-erwnzFD7AeE.pt-BR.vtt 2.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/02. Section 1 Introduction-_zo6RiwmDCk.en.vtt 2.2 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/34. Technical Issues-6Bpu_XydW2k.en.vtt 2.2 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt 2.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.1 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/06. Context-J-4pfu2w1C0.en.vtt 2.1 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/05. Sequence-Batching-Z4OiyU0Cldg.en.vtt 2.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/codecogseqn-49.gif 2.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/sigmoid-derivative.gif 2.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 KB
Part 04-Module 01-Lesson 01_Feature Extraction/03. TF-IDF-XZBiBIRcACE.zh-CN.vtt 2.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt 2.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt 2.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt 2.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt 2.0 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/04. Creating Testing Sets-BRBbrNLz1ho.en.vtt 2.0 KB
Part 02-Module 04-Lesson 04_Hyperparameters/02. Introduction-erwnzFD7AeE.zh-CN.vtt 2.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/37. Testing-EeBZpb-PSac.zh-CN.vtt 2.0 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/06. Context-J-4pfu2w1C0.zh-CN.vtt 2.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/26. 3 5 Summary-imv4cLtF38o.en.vtt 2.0 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/34. Technical Issues-6Bpu_XydW2k.zh-CN.vtt 1.9 KB
Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/05. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt 1.9 KB
Part 04-Module 01-Lesson 01_Feature Extraction/09. T-SNE-xxcK8oZ6_WE.zh-CN.vtt 1.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/28. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.8 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/26. 3 5 Summary-imv4cLtF38o.zh-CN.vtt 1.8 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/02. Structured Languages-NsmqUIHlk6U.en.vtt 1.8 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/02. Section 1 Introduction-_zo6RiwmDCk.zh-CN.vtt 1.8 KB
Part 03-Module 01-Lesson 02_Text Processing/03. Capturing Text Data-Z4mnMN1ApG4.en.vtt 1.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.en.vtt 1.8 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/03. Classification Example-46PywnGa_cQ.en.vtt 1.8 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.7 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/04. Unstructured Text-OmwSdaec5vU.en.vtt 1.7 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt 1.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt 1.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.7 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt 1.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 KB
Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt 1.7 KB
Part 03-Module 01-Lesson 02_Text Processing/10. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt 1.7 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Chain Rule-YAhIBOnbt54.en.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/03. Classification Example-46PywnGa_cQ.zh-CN.vtt 1.6 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/01. Welcome to NLP-g-AlFF61p0I.en.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt 1.6 KB
Part 02-Module 04-Lesson 04_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/03. Classification Example-46PywnGa_cQ.pt-BR.vtt 1.6 KB
Part 03-Module 01-Lesson 02_Text Processing/09. Stop Word Removal-WAU_Ij0GJbw.en.vtt 1.6 KB
Part 03-Module 01-Lesson 02_Text Processing/03. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt 1.6 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/43. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.6 KB
Part 04-Module 01-Lesson 01_Feature Extraction/05. Word Embeddings-4mM_S9L2_JQ.en.vtt 1.5 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/04. Unstructured Text-OmwSdaec5vU.zh-CN.vtt 1.5 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt 1.5 KB
Part 02-Module 04-Lesson 04_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt 1.5 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/02. Structured Languages-NsmqUIHlk6U.zh-CN.vtt 1.5 KB
Part 02-Module 04-Lesson 04_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt 1.5 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt 1.5 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/01. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt 1.5 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.5 KB
Part 03-Module 01-Lesson 02_Text Processing/10. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt 1.5 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt 1.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/43. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt 1.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt 1.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/30. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.4 KB
Part 03-Module 01-Lesson 02_Text Processing/09. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt 1.4 KB
Part 04-Module 01-Lesson 01_Feature Extraction/04. One-Hot Encoding-a0j1CDXFYZI.en.vtt 1.4 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/13. Summarizing recursivity-l1H8dfGW2A4.en.vtt 1.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/27. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt 1.4 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/25. Continuous Perceptrons-07-JJ-aGEfM.en.vtt 1.3 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/25. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/27. Non-Linear Models-HWuBKCZsCo8.en.vtt 1.3 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/05. Modeling-P4w_2rkxBvE.en.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.3 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/13. Summarizing recursivity-l1H8dfGW2A4.zh-CN.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/36. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.3 KB
Part 04-Module 01-Lesson 01_Feature Extraction/05. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt 1.3 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.en.vtt 1.3 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/43. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.2 KB
Part 02-Module 03-Lesson 01_Intro to TensorFlow/img/linear-equation.gif 1.2 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/12. Deploying a Bluemix Application-YF2SgUXzk9k.en.vtt 1.2 KB
Part 04-Module 01-Lesson 01_Feature Extraction/04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt 1.2 KB
Part 03-Module 01-Lesson 02_Text Processing/01. Text Processing-6LO6I5M18PQ.en.vtt 1.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/01. Natural Language Processing-UQBxJzoCp-I.en.vtt 1.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/49. Error Functions Around the World-34AAcTECu2A.en.vtt 1.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/25. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt 1.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.2 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/45. Local Minima-gF_sW_nY-xw.en.vtt 1.1 KB
Part 05-Module 01-Lesson 01_Modeling/01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.en.vtt 1.1 KB
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt 1.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/27. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt 1.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/36. Learning Rate-TwJ8aSZoh2U.en.vtt 1.1 KB
Part 03-Module 01-Lesson 02_Text Processing/13. Summary-zKYEvRd2XmI.en.vtt 1.1 KB
Part 03-Module 01-Lesson 02_Text Processing/11. Named Entity Recognition-QUQu2nsE7vE.en.vtt 1.1 KB
Part 04-Module 01-Lesson 01_Feature Extraction/01. Feature Extraction-Bd6TJB8eVLQ.en.vtt 1.1 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/05. Modeling-P4w_2rkxBvE.zh-CN.vtt 1.1 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/21. 3 2 0 Example 2-2qYjlOV4Vi0.en.vtt 1.1 KB
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/12. Deploying a Bluemix Application-YF2SgUXzk9k.zh-CN.vtt 1.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/49. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt 1.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/49. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt 1.1 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/36. Outro-LurBj_gmFwk.zh-CN.vtt 1.1 KB
Part 03-Module 01-Lesson 02_Text Processing/01. Text Processing-6LO6I5M18PQ.zh-CN.vtt 1.1 KB
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/36. Outro-LurBj_gmFwk.en.vtt 1.1 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/45. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.0 KB
Part 03-Module 01-Lesson 01_Natural Language Processing/01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt 1.0 KB
Part 05-Module 01-Lesson 01_Modeling/01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.zh-CN.vtt 1.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/45. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. XOR Perceptron-TF83GfjYLdw.en.vtt 1.0 KB
Part 03-Module 01-Lesson 02_Text Processing/11. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt 1.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt 1.0 KB
Part 02-Module 01-Lesson 01_Deep Neural Networks/08. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt 1021 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/36. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1020 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/21. 3 2 0 Example 2-2qYjlOV4Vi0.zh-CN.vtt 1016 bytes
Part 03-Module 01-Lesson 02_Text Processing/13. Summary-zKYEvRd2XmI.zh-CN.vtt 984 bytes
Part 04-Module 01-Lesson 01_Feature Extraction/01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt 970 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt 947 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/img/codecogseqn-58.gif 919 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.en.vtt 918 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/01. Introducing Jeremy-U7RmFpVevis.en.vtt 875 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/34. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/27. Introduction to Section 4-xx4PxKWVmHo.en.vtt 869 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/52. Outro-HZt6bf73bOo.pt-BR.vtt 857 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/34. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/34. Training Optimization-UiGKhx9pUYc.en.vtt 824 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/27. Introduction to Section 4-xx4PxKWVmHo.zh-CN.vtt 815 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt 813 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/12. Error Functions-YfUUunxWIJw.pt-BR.vtt 804 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/01. Introducing Jeremy-U7RmFpVevis.zh-CN.vtt 804 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/52. Outro-HZt6bf73bOo.en.vtt 802 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/12. Error Functions-YfUUunxWIJw.en.vtt 790 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/12. Error Functions-YfUUunxWIJw.zh-CN.vtt 739 bytes
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.en.vtt 734 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/52. Outro-HZt6bf73bOo.zh-CN.vtt 731 bytes
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/03. Grammar-Jw3dA7xmoQ4.en.vtt 727 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt 719 bytes
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 bytes
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.en.vtt 694 bytes
Part 05-Module 01-Lesson 01_Modeling/08. NLP Summary-B9ul8fsQYOA.en.vtt 688 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.en.vtt 633 bytes
Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt 624 bytes
Part 05-Module 01-Lesson 01_Modeling/08. NLP Summary-B9ul8fsQYOA.zh-CN.vtt 624 bytes
Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt 617 bytes
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt 615 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.en.vtt 607 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/05. Section 2 Introduction-behe53793wo.en.vtt 606 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt 600 bytes
Part 02-Module 02-Lesson 01_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt 599 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/14. Section 3 Introduction-VyE6NcPbX9Q.en.vtt 594 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.en.vtt 586 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt 584 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.pt-BR.vtt 574 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.en.vtt 551 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt 548 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt 545 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.zh-CN.vtt 540 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/05. Section 2 Introduction-behe53793wo.zh-CN.vtt 528 bytes
[TGx]Downloaded from torrentgalaxy.org.txt 524 bytes
Part 02-Module 04-Lesson 01_Recurrent Neural Networks/14. Section 3 Introduction-VyE6NcPbX9Q.zh-CN.vtt 510 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt 501 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.en.vtt 495 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt 481 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.en.vtt 466 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 bytes
Part 02-Module 01-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 bytes
Torrent Downloaded From GloDls.to.txt 84 bytes
Presented By SaM.txt 33 bytes

[FreeCoursesOnline.Me] [UDACITY] NLP Foundations Nanodegree - [FCO]

File List

Download Torrent

Related Resources

Copyright Infringement