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This notebook contains basic functions for forward and backward propagation in a Convolutional Neural Network. A vectorized implementation of forward and backward propagation is formulated, which is about 100x faster than a for-loop implementation.
vaskonvas/iCNN
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This notebook contains basic functions for forward and backward propagation in a Convolutional Neural Network. A vectorized implementation of forward and backward propagation is formulated, which is about 100x faster than a for-loop implementation.
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