cat-vs-noncat-L-layer-deep-neural-network

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).

Result :

Train accuracy is 0.9856 and test accuracy is 0.8.

Built With

• python