This is a classical Binary Image Classification Problem where we need to classify whether the given image belongs to dog or cat.
Data provided: 8000 images ( training set) and 2000 images(test set) of dogs & cats splitted evenly.
We build this model using Convolution Neural Network(CNN).
Libraries Used: keras, theano, tensorflow.
On building the model with single convolution and pooling layer, we achieved an accuracy of 84.52% on training set and 75.10% on test set.
By adding second convolution and pooling layer, we achieved an accuracy of 85.16% on training set and 81.80% on test set.