Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

Creation Time	July 7, 2025, 3:42 p.m.
Last Access Time	July 7, 2025, 11:21 p.m.
File Size	4.0 GB
Keywords	Convolutional Neural Python - Deep Udemy 2025 5 Learning in Networks
Total Requests	5
Total Files	162
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13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 309.1 MB
06. Natural Language Processing (NLP)/5. Text Classification with CNNs.mp4 298.9 MB
05. Convolutional Neural Networks/4. Why use 0-indexing.mp4 200.9 MB
13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 192.0 MB
03. Machine Learning and Neurons/4. Classification Notebook.mp4 172.1 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 136.4 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 134.8 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.mp4 108.4 MB
02. Google Colab/2. Uploading your own data to Google Colab.mp4 103.3 MB
05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).mp4 101.2 MB
04. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 99.2 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).mp4 93.5 MB
03. Machine Learning and Neurons/6. Regression Notebook.mp4 87.6 MB
02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 71.6 MB
03. Machine Learning and Neurons/8. How does a model learn.mp4 60.6 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 60.2 MB
05. Convolutional Neural Networks/6. CNN Architecture.mp4 59.7 MB
04. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 59.5 MB
06. Natural Language Processing (NLP)/3. Text Preprocessing.mp4 59.4 MB
05. Convolutional Neural Networks/7. CNN Code Preparation.mp4 57.6 MB
03. Machine Learning and Neurons/2. What is Machine Learning.mp4 48.0 MB
05. Convolutional Neural Networks/5. Convolution on Color Images.mp4 45.9 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to use Github & Extra Coding Tips (Optional).mp4 44.4 MB
04. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4 44.3 MB
06. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4 44.3 MB
05. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 43.4 MB
16. Appendix FAQ Finale/1. BONUS.mp4 43.2 MB
04. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4 43.1 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 42.9 MB
03. Machine Learning and Neurons/10. Saving and Loading a Model.mp4 41.7 MB
03. Machine Learning and Neurons/11. Suggestion Box.mp4 39.8 MB
05. Convolutional Neural Networks/8. CNN for Fashion MNIST.mp4 38.5 MB
11. In-Depth Gradient Descent/5. Adam (pt 1).mp4 38.1 MB
03. Machine Learning and Neurons/3. Code Preparation (Classification Theory).mp4 37.7 MB
09. Practical Tips/1. Advanced CNNs and how to Design your Own.mp4 37.2 MB
08. Convolutional Neural Network Description/2. Tracking Shapes in a CNN.mp4 37.1 MB
02. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 36.6 MB
07. Convolution In-Depth/1. Real-Life Examples of Convolution.mp4 36.2 MB
06. Natural Language Processing (NLP)/1. Embeddings.mp4 36.0 MB
04. Feedforward Artificial Neural Networks/8. Code Preparation (ANN).mp4 32.3 MB
02. Google Colab/4. Temporary 403 Errors.mp4 31.7 MB
11. In-Depth Gradient Descent/6. Adam (pt 2).mp4 31.3 MB
04. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4 30.8 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Where To Get the Code Troubleshooting.mp4 29.6 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/6. How to Code by Yourself (part 2).mp4 29.3 MB
04. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4 28.7 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/10. Is Theano Dead.mp4 27.9 MB
03. Machine Learning and Neurons/7. The Neuron.mp4 26.4 MB
05. Convolutional Neural Networks/9. CNN for CIFAR-10.mp4 25.8 MB
05. Convolutional Neural Networks/10. Data Augmentation.mp4 25.8 MB
11. In-Depth Gradient Descent/3. Momentum.mp4 25.6 MB
04. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4 25.6 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 25.3 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 24.9 MB
10. In-Depth Loss Functions/1. Mean Squared Error.mp4 24.0 MB
03. Machine Learning and Neurons/9. Making Predictions.mp4 23.5 MB
11. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4 23.5 MB
08. Convolutional Neural Network Description/1. Convolution on 3-D Images.mp4 21.7 MB
06. Natural Language Processing (NLP)/4. CNNs for Text.mp4 21.6 MB
07. Convolution In-Depth/3. Alternative Views on Convolution.mp4 21.5 MB
11. In-Depth Gradient Descent/1. Gradient Descent.mp4 20.7 MB
10. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4 19.6 MB
04. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4 18.4 MB
12. Appendix FAQ Intro/1. What is the Appendix.mp4 18.3 MB
11. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4 18.2 MB
07. Convolution In-Depth/2. Beginner's Guide to Convolution.mp4 17.5 MB
03. Machine Learning and Neurons/5. Code Preparation (Regression Theory).mp4 16.8 MB
05. Convolutional Neural Networks/3. What is Convolution (part 3).mp4 16.2 MB
05. Convolutional Neural Networks/2. What is Convolution (part 2).mp4 14.5 MB
05. Convolutional Neural Networks/11. Batch Normalization.mp4 13.1 MB
13. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.mp4 13.0 MB
10. In-Depth Loss Functions/2. Binary Cross Entropy.mp4 12.8 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/9. Python 2 vs Python 3.mp4 10.4 MB
01. Welcome/3. How to Succeed in this Course.mp4 9.0 MB
03. Machine Learning and Neurons/1. Review Section Introduction.mp4 7.5 MB
01. Welcome/1. Introduction and Outline.mp4 7.5 MB
01. Welcome/2. Where to get the code.mp4 6.8 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/7. How to Uncompress a .tar.gz file.mp4 6.4 MB
04. Feedforward Artificial Neural Networks/7. Color Mixing Clarification.mp4 2.6 MB
03. Machine Learning and Neurons/6. Regression Notebook.vtt 29.6 KB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.3 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).vtt 27.8 KB
05. Convolutional Neural Networks/6. CNN Architecture.vtt 25.1 KB
06. Natural Language Processing (NLP)/5. Text Classification with CNNs.vtt 24.6 KB
03. Machine Learning and Neurons/4. Classification Notebook.vtt 23.6 KB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).vtt 20.9 KB
06. Natural Language Processing (NLP)/3. Text Preprocessing.vtt 20.8 KB
04. Feedforward Artificial Neural Networks/4. Activation Functions.vtt 20.0 KB
05. Convolutional Neural Networks/4. Why use 0-indexing.vtt 19.7 KB
05. Convolutional Neural Networks/5. Convolution on Color Images.vtt 18.3 KB
08. Convolutional Neural Network Description/2. Tracking Shapes in a CNN.vtt 18.2 KB
05. Convolutional Neural Networks/1. What is Convolution (part 1).vtt 18.2 KB
03. Machine Learning and Neurons/3. Code Preparation (Classification Theory).vtt 18.2 KB
05. Convolutional Neural Networks/7. CNN Code Preparation.vtt 17.7 KB
13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.vtt 17.3 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.vtt 16.8 KB
13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 16.8 KB
03. Machine Learning and Neurons/2. What is Machine Learning.vtt 16.7 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/6. How to Code by Yourself (part 2).vtt 16.1 KB
06. Natural Language Processing (NLP)/2. Code Preparation (NLP).vtt 16.1 KB
06. Natural Language Processing (NLP)/1. Embeddings.vtt 15.5 KB
11. In-Depth Gradient Descent/5. Adam (pt 1).vtt 14.8 KB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt 14.6 KB
04. Feedforward Artificial Neural Networks/8. Code Preparation (ANN).vtt 14.4 KB
04. Feedforward Artificial Neural Networks/6. How to Represent Images.vtt 14.1 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to use Github & Extra Coding Tips (Optional).vtt 13.8 KB
11. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.vtt 13.4 KB
09. Practical Tips/1. Advanced CNNs and how to Design your Own.vtt 13.3 KB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).vtt 13.1 KB
02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.vtt 12.7 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.vtt 12.7 KB
02. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.vtt 12.7 KB
03. Machine Learning and Neurons/8. How does a model learn.vtt 12.6 KB
08. Convolutional Neural Network Description/1. Convolution on 3-D Images.vtt 12.4 KB
11. In-Depth Gradient Descent/6. Adam (pt 2).vtt 12.4 KB
05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).vtt 11.9 KB
04. Feedforward Artificial Neural Networks/10. ANN for Regression.vtt 11.8 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/10. Is Theano Dead.vtt 11.7 KB
03. Machine Learning and Neurons/7. The Neuron.vtt 11.2 KB
04. Feedforward Artificial Neural Networks/2. Forward Propagation.vtt 10.9 KB
02. Google Colab/2. Uploading your own data to Google Colab.vtt 10.8 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Get Your Hands Dirty, Practical Coding Experience, Data Links.vtt 10.5 KB
04. Feedforward Artificial Neural Networks/3. The Geometrical Picture.vtt 10.4 KB
10. In-Depth Loss Functions/1. Mean Squared Error.vtt 10.1 KB
05. Convolutional Neural Networks/10. Data Augmentation.vtt 10.1 KB
04. Feedforward Artificial Neural Networks/5. Multiclass Classification.vtt 9.8 KB
04. Feedforward Artificial Neural Networks/9. ANN for Image Classification.vtt 9.0 KB
06. Natural Language Processing (NLP)/4. CNNs for Text.vtt 8.8 KB
11. In-Depth Gradient Descent/1. Gradient Descent.vtt 8.8 KB
10. In-Depth Loss Functions/3. Categorical Cross Entropy.vtt 8.8 KB
12. Appendix FAQ Intro/1. What is the Appendix.vtt 8.1 KB
03. Machine Learning and Neurons/5. Code Preparation (Regression Theory).vtt 8.0 KB
07. Convolution In-Depth/1. Real-Life Examples of Convolution.vtt 7.8 KB
07. Convolution In-Depth/3. Alternative Views on Convolution.vtt 7.4 KB
03. Machine Learning and Neurons/9. Making Predictions.vtt 7.3 KB
05. Convolutional Neural Networks/8. CNN for Fashion MNIST.vtt 7.1 KB
04. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.vtt 7.1 KB
16. Appendix FAQ Finale/1. BONUS.vtt 7.1 KB
05. Convolutional Neural Networks/3. What is Convolution (part 3).vtt 7.0 KB
07. Convolution In-Depth/2. Beginner's Guide to Convolution.vtt 7.0 KB
11. In-Depth Gradient Descent/3. Momentum.vtt 6.9 KB
10. In-Depth Loss Functions/2. Binary Cross Entropy.vtt 6.4 KB
05. Convolutional Neural Networks/2. What is Convolution (part 2).vtt 6.4 KB
05. Convolutional Neural Networks/11. Batch Normalization.vtt 6.0 KB
01. Welcome/2. Where to get the code.vtt 6.0 KB
13. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.vtt 5.7 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/9. Python 2 vs Python 3.vtt 5.5 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Where To Get the Code Troubleshooting.vtt 5.1 KB
05. Convolutional Neural Networks/9. CNN for CIFAR-10.vtt 5.0 KB
11. In-Depth Gradient Descent/2. Stochastic Gradient Descent.vtt 4.7 KB
03. Machine Learning and Neurons/10. Saving and Loading a Model.vtt 4.4 KB
03. Machine Learning and Neurons/11. Suggestion Box.vtt 4.1 KB
01. Welcome/3. How to Succeed in this Course.vtt 3.9 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/7. How to Uncompress a .tar.gz file.vtt 3.6 KB
01. Welcome/1. Introduction and Outline.vtt 3.2 KB
03. Machine Learning and Neurons/1. Review Section Introduction.vtt 3.2 KB
02. Google Colab/4. Temporary 403 Errors.vtt 3.2 KB
04. Feedforward Artificial Neural Networks/7. Color Mixing Clarification.vtt 1.0 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Data-Links.txt 96 bytes
01. Welcome/2. Github-Link.txt 81 bytes
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Github-Link.txt 81 bytes
01. Welcome/2. Code-Link.txt 64 bytes

Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

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