Dog vs Cat Classifier
A binary image classifier that determines whether an image contains a dog or a cat.
The classifier is a six layer convolutional neural network built using TensorFlow's Keras API that was trained on 20,000 images of dogs and cats. It achieves a testing accuracy of 93 percent.