Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow

Keras is winning the world of deep learning. In this tutorial, we shall learn how to use Keras and transfer learning to produce state-of-the-art results using very small datasets. We shall provide complete training and prediction code. For this comprehensive guide, we shall be using VGG network but the techniques learned here can be used to finetune Alexnet, Inception, Resnet or any other custom network architecture. In a previous tutorial, we used 2000 images of dog and cat to get a classification accuracy of 80%.