[FreeCourseSite.com] Udemy - Convolutional Neural Networks in Python CNN Computer Vision

Creation Time	April 17, 2024, 8:53 a.m.
Last Access Time	Sept. 14, 2025, 1:48 p.m.
File Size	2.7 GB
Keywords	Convolutional FreeCourseSite Neural Python - Udemy Computer in CNN com Networks Vision
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10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 155.9 MB
12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 151.6 MB
20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.mp4 129.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 122.2 MB
11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 92.2 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 86.6 MB
9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 81.7 MB
9. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 79.1 MB
17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.mp4 71.9 MB
9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 70.0 MB
14. CNN - Basics/5. Channels.mp4 67.7 MB
17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.mp4 66.0 MB
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 65.2 MB
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 64.4 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 62.2 MB
13. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 60.7 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 60.3 MB
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 60.3 MB
16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.mp4 58.0 MB
8. Python - Dataset for classification problem/1. Dataset for classification.mp4 56.2 MB
15. Creating CNN model in Python/3. CNN model in Python - Training and results.mp4 55.1 MB
18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.mp4 53.1 MB
14. CNN - Basics/4. Filters and Feature maps.mp4 52.7 MB
14. CNN - Basics/1. CNN Introduction.mp4 51.2 MB
17. Project Creating CNN model from scratch/1. Project - Introduction.mp4 49.4 MB
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 46.9 MB
14. CNN - Basics/6. PoolingLayer.mp4 46.9 MB
6. Standard Model Parameters/1. Hyperparameters.mp4 45.4 MB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 44.8 MB
8. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 44.2 MB
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 43.9 MB
15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.mp4 43.3 MB
18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.mp4 41.4 MB
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 40.9 MB
15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.mp4 40.6 MB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 40.4 MB
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 40.4 MB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 34.6 MB
14. CNN - Basics/3. Padding.mp4 31.6 MB
19. Transfer Learning Basics/5. Transfer Learning.mp4 30.0 MB
1. Introduction/1. Introduction.mp4 22.6 MB
19. Transfer Learning Basics/4. GoogLeNet.mp4 21.4 MB
17. Project Creating CNN model from scratch/5. Project in Python - model results.mp4 21.0 MB
19. Transfer Learning Basics/1. ILSVRC.mp4 20.9 MB
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 20.7 MB
7. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 20.1 MB
14. CNN - Basics/2. Stride.mp4 16.6 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 16.3 MB
7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 14.9 MB
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 12.7 MB
21. Bonus Section/1. The final milestone!.mp4 11.9 MB
9. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 10.8 MB
19. Transfer Learning Basics/3. VGG16NET.mp4 10.4 MB
19. Transfer Learning Basics/2. LeNET.mp4 7.0 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt 22.8 KB
10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt 21.9 KB
20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.srt 18.9 KB
12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt 18.8 KB
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt 17.0 KB
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt 16.4 KB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt 14.5 KB
5. Important concepts Common Interview questions/1. Some Important Concepts.srt 13.1 KB
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt 12.3 KB
9. Python - Building and training the Model/2. Building the Neural Network using Keras.srt 12.0 KB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt 11.9 KB
11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt 11.9 KB
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt 10.5 KB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt 9.7 KB
9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt 9.6 KB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt 9.5 KB
13. Hyperparameter Tuning/1. Hyperparameter Tuning.srt 9.4 KB
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt 9.1 KB
9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt 9.0 KB
6. Standard Model Parameters/1. Hyperparameters.srt 8.9 KB
17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.srt 8.7 KB
17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.srt 8.6 KB
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt 8.2 KB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt 7.9 KB
14. CNN - Basics/1. CNN Introduction.srt 7.8 KB
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt 7.5 KB
8. Python - Dataset for classification problem/1. Dataset for classification.srt 7.2 KB
17. Project Creating CNN model from scratch/1. Project - Introduction.srt 7.1 KB
18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.srt 6.7 KB
15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.srt 6.7 KB
14. CNN - Basics/4. Filters and Feature maps.srt 6.5 KB
18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.srt 6.4 KB
15. Creating CNN model in Python/3. CNN model in Python - Training and results.srt 6.1 KB
14. CNN - Basics/5. Channels.srt 5.9 KB
8. Python - Dataset for classification problem/2. Normalization and Test-Train split.srt 5.7 KB
15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.srt 5.5 KB
19. Transfer Learning Basics/5. Transfer Learning.srt 5.3 KB
16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.srt 5.3 KB
14. CNN - Basics/6. PoolingLayer.srt 5.1 KB
14. CNN - Basics/3. Padding.srt 4.6 KB
19. Transfer Learning Basics/1. ILSVRC.srt 4.4 KB
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt 4.0 KB
7. Tensorflow and Keras/2. Installing Tensorflow and Keras.srt 3.8 KB
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt 3.8 KB
1. Introduction/1. Introduction.srt 3.6 KB
7. Tensorflow and Keras/1. Keras and Tensorflow.srt 3.6 KB
19. Transfer Learning Basics/4. GoogLeNet.srt 3.0 KB
14. CNN - Basics/2. Stride.srt 2.7 KB
17. Project Creating CNN model from scratch/5. Project in Python - model results.srt 2.7 KB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt 2.6 KB
9. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt 1.9 KB
19. Transfer Learning Basics/3. VGG16NET.srt 1.9 KB
21. Bonus Section/1. The final milestone!.srt 1.7 KB
19. Transfer Learning Basics/2. LeNET.srt 1.6 KB
21. Bonus Section/2. Congratulations & About your certificate.html 1.6 KB
8. Python - Dataset for classification problem/3. More about test-train split.html 559 bytes
1. Introduction/2. Course Resources.html 335 bytes
17. Project Creating CNN model from scratch/2. Data for the project.html 232 bytes
14. CNN - Basics/7. Quiz.html 210 bytes
4. Neural Networks - Stacking cells to create network/4. Quiz.html 210 bytes
5. Important concepts Common Interview questions/2. Quiz.html 210 bytes
6. Standard Model Parameters/2. Quiz.html 210 bytes
0. Websites you may like/[FCS Forum].url 133 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
17. Project Creating CNN model from scratch/2.1 Dataset.html 127 bytes
0. Websites you may like/[CourseClub.ME].url 122 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes

[FreeCourseSite.com] Udemy - Convolutional Neural Networks in Python CNN Computer Vision

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