Implementing a L layer Neural Network with 4 layers for a cat vs noncat classification. The input is a (64,64,3) image which is flattened to a vector of size (12288,1).
Train accuracy is 0.9856 and test accuracy is 0.8.
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L layer deep neural network for image classification.
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