Built a cat classifier using Pytorch and a) Simple Neural Network b) Convolutional Neural Network to compare the two techniques. The training and test dataset has been taken from Course 1 of the DL specialization offered by Andrew Ng.
Modules used: (i) h5py (to extract data from the .h5 files) (ii) PyTorch (to construct and implement the Models) (iii) MatPlotLib to plot some images.