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Python-Deep-Learning-Cookbook/Chapter02 at master · edencfc/Python-Deep-Learning-Cookbook · GitHub

Name		Name	Last commit message	Last commit date
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Chapter 2 - Adding dropout to prevent overfitting.ipynb		Chapter 2 - Adding dropout to prevent overfitting.ipynb
Chapter 2 - Building a multi-layer neural network.ipynb		Chapter 2 - Building a multi-layer neural network.ipynb
Chapter 2 - Experiment with hidden layers and hidden units.ipynb		Chapter 2 - Experiment with hidden layers and hidden units.ipynb
Chapter 2 - Experimenting with different optimizers.ipynb		Chapter 2 - Experimenting with different optimizers.ipynb
Chapter 2 - Getting started with activation functions.ipynb		Chapter 2 - Getting started with activation functions.ipynb
Chapter 2 - Implementing a single-layer neural network.ipynb		Chapter 2 - Implementing a single-layer neural network.ipynb
Chapter 2 - Implementing an autoencoder.ipynb		Chapter 2 - Implementing an autoencoder.ipynb
Chapter 2 - Improving generalization with regularization.ipynb		Chapter 2 - Improving generalization with regularization.ipynb
Chapter 2 - Tuning the loss function.ipynb		Chapter 2 - Tuning the loss function.ipynb
Chapter 2 - Understanding the Perceptron.ipynb		Chapter 2 - Understanding the Perceptron.ipynb