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