Dog-vs-Cat-Convolutional-Neural-Network-classifier

It is a Convolution Neural Network(CNN) Classifier for Classifying dog and cat images using Keras and Tensorflow backend.

Test Train Split Image training set contain 10,000 images i.e 5,000 each category. I split those into 80% train and 20% means test Split each class images into 8,000 for train and 2,000 for test.

Network Parameters:

1)Rectifier Linear Unit

2)Adam optimizer

3)Sigmoid on Final output

4)Binary CrossEntropy loss