A collection of notebooks to organize my thoughts as I dive into deep learning. Thanks to Eric Postma for suggesting this learning path.
Links to nbviewer (for nicer LaTeX rendering):
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Improved training methods: Mini-batches, momentum, and learning rate decay
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Preventing overfitting: weight regularization and dropout