Transfer Learning with CNN
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed. Applied transfer learning by utilizing an existing CNN deep neural network, Xception, and applying an average pooling layer and fully connected layer on the end to classify dog breeds.