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Create Time:1970-01-01 08:00:00
File Size:2.70 GB
File Count:121
File Hash:d0f464065673e4a6beca97f94aafbbaa42a237b0
| 0. Websites you may like/[CourseClub.ME].url |
| 0. Websites you may like/[FCS Forum].url |
| 0. Websites you may like/[FreeCourseSite.com].url |
| 0. Websites you may like/[GigaCourse.Com].url |
| 1. Introduction/1. Introduction.mp4 |
| 1. Introduction/1. Introduction.srt |
| 1. Introduction/2. Course Resources.html |
| 10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 |
| 10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt |
| 11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 |
| 11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt |
| 12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 |
| 12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt |
| 13. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 |
| 13. Hyperparameter Tuning/1. Hyperparameter Tuning.srt |
| 14. CNN - Basics/1. CNN Introduction.mp4 |
| 14. CNN - Basics/1. CNN Introduction.srt |
| 14. CNN - Basics/2. Stride.mp4 |
| 14. CNN - Basics/2. Stride.srt |
| 14. CNN - Basics/3. Padding.mp4 |
| 14. CNN - Basics/3. Padding.srt |
| 14. CNN - Basics/4. Filters and Feature maps.mp4 |
| 14. CNN - Basics/4. Filters and Feature maps.srt |
| 14. CNN - Basics/5. Channels.mp4 |
| 14. CNN - Basics/5. Channels.srt |
| 14. CNN - Basics/6. PoolingLayer.mp4 |
| 14. CNN - Basics/6. PoolingLayer.srt |
| 14. CNN - Basics/7. Quiz.html |
| 15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.mp4 |
| 15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.srt |
| 15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.mp4 |
| 15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.srt |
| 15. Creating CNN model in Python/3. CNN model in Python - Training and results.mp4 |
| 15. Creating CNN model in Python/3. CNN model in Python - Training and results.srt |
| 16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.mp4 |
| 16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.srt |
| 17. Project Creating CNN model from scratch/1. Project - Introduction.mp4 |
| 17. Project Creating CNN model from scratch/1. Project - Introduction.srt |
| 17. Project Creating CNN model from scratch/2. Data for the project.html |
| 17. Project Creating CNN model from scratch/2.1 Dataset.html |
| 17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.mp4 |
| 17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.srt |
| 17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.mp4 |
| 17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.srt |
| 17. Project Creating CNN model from scratch/5. Project in Python - model results.mp4 |
| 17. Project Creating CNN model from scratch/5. Project in Python - model results.srt |
| 18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.mp4 |
| 18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.srt |
| 18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.mp4 |
| 18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.srt |
| 19. Transfer Learning Basics/1. ILSVRC.mp4 |
| 19. Transfer Learning Basics/1. ILSVRC.srt |
| 19. Transfer Learning Basics/2. LeNET.mp4 |
| 19. Transfer Learning Basics/2. LeNET.srt |
| 19. Transfer Learning Basics/3. VGG16NET.mp4 |
| 19. Transfer Learning Basics/3. VGG16NET.srt |
| 19. Transfer Learning Basics/4. GoogLeNet.mp4 |
| 19. Transfer Learning Basics/4. GoogLeNet.srt |
| 19. Transfer Learning Basics/5. Transfer Learning.mp4 |
| 19. Transfer Learning Basics/5. Transfer Learning.srt |
| 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 |
| 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt |
| 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 |
| 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt |
| 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 |
| 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt |
| 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 |
| 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt |
| 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 |
| 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt |
| 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 |
| 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt |
| 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 |
| 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt |
| 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 |
| 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt |
| 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 |
| 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt |
| 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 |
| 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt |
| 20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.mp4 |
| 20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.srt |
| 21. Bonus Section/1. The final milestone!.mp4 |
| 21. Bonus Section/1. The final milestone!.srt |
| 21. Bonus Section/2. Congratulations & About your certificate.html |
| 3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 |
| 3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt |
| 3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 |
| 3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt |
| 3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 |
| 3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt |
| 4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 |
| 4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt |
| 4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 |
| 4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt |
| 4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 |
| 4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt |
| 4. Neural Networks - Stacking cells to create network/4. Quiz.html |
| 5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 |
| 5. Important concepts Common Interview questions/1. Some Important Concepts.srt |
| 5. Important concepts Common Interview questions/2. Quiz.html |
| 6. Standard Model Parameters/1. Hyperparameters.mp4 |
| 6. Standard Model Parameters/1. Hyperparameters.srt |
| 6. Standard Model Parameters/2. Quiz.html |
| 7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 |
| 7. Tensorflow and Keras/1. Keras and Tensorflow.srt |
| 7. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 |
| 7. Tensorflow and Keras/2. Installing Tensorflow and Keras.srt |
| 8. Python - Dataset for classification problem/1. Dataset for classification.mp4 |
| 8. Python - Dataset for classification problem/1. Dataset for classification.srt |
| 8. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 |
| 8. Python - Dataset for classification problem/2. Normalization and Test-Train split.srt |
| 8. Python - Dataset for classification problem/3. More about test-train split.html |
| 9. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 |
| 9. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt |
| 9. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 |
| 9. Python - Building and training the Model/2. Building the Neural Network using Keras.srt |
| 9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 |
| 9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt |
| 9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 |
| 9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt |
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