A binary classifier using keras to distinguish between a cat and a dog. The model uses two convolution layers with relu activation functions. It gives the accuracy of 96.5% on training data but only 65.25% on test data. This could be increased by using a bigger data set.

##Link to the Dataset - https://drive.google.com/drive/u/0/folders/1dZvL1gi5QLwOGrfdn9XEsi4EnXx535bD