Transfer learning example

In this example, we will take a pre-trained VGGNet and use transfer learning to train a CNN classifier that predicts dog breeds, given a dog image. Keras contains many pre-trained models, along with the code that loads and visualizes them. Another is a flower dataset that can be downloaded here. The Dog breed dataset has 133 dog breed categories and 8,351 dog images. Download the Dog breed dataset here and copy it to your folder. VGGNet has 16 convolutional with pooling layers from beginning to end and three fully connected layers followed by a softmax function. Its main objective was to show how the depth of the network gives the best performance. It came from Visual Geometric Group (VGG) at Oxford. Their best performing network is VGG16. The Dog breed dataset is relatively small and has a little overlap with the imageNet dataset. So, we can remove...