Name                                                    Last modified      Size  
 Parent Directory                                                             -   
 01 Introduction/                                        2026-02-10 16:54    -   
 02 Setting up Python and Jupyter Notebook/              2026-02-10 16:54    -   
 03 Single Cells - Perceptron and Sigmoid Neuron/        2026-02-10 16:53    -   
 04 Neural Networks - Stacking cells to create network/  2026-02-10 16:53    -   
 05 Important concepts Common Interview questions/       2026-02-10 16:52    -   
 06 Standard Model Parameters/                           2026-02-10 16:52    -   
 07 Tensorflow and Keras/                                2026-02-10 16:52    -   
 08 Python - Dataset for classification problem/         2026-02-10 16:52    -   
 09 Python - Building and training the Model/            2026-02-10 16:52    -   
 10 Saving and Restoring Models/                         2026-02-10 16:52    -   
 11 Hyperparameter Tuning/                               2026-02-10 16:52    -   
 12 CNN - Basics/                                        2026-02-10 16:52    -   
 13 Creating CNN model in Python/                        2026-02-10 16:51    -   
 14 Analyzing impact of Pooling layer/                   2026-02-10 16:51    -   
 15 Project  Creating CNN model from scratch/            2026-02-10 16:51    -   
 16 Project  Data Augmentation for avoiding overfitting/ 2026-02-10 16:50    -   
 17 Transfer Learning  Basics/                           2026-02-10 16:50    -   
 18 Transfer Learning in Python/                         2026-02-10 16:50    -   
 19 Bonus Section/                                       2026-02-10 16:50    -   

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