Image Feature Engineering using Transfer Learning in Keras



This project builds an image classifier that is trained and tested using features extracted through transfer learning of the pre-trained MobileNet model. Through a step-by-step guide, you will understand how to transfer learning of MobileNet to a new dataset which is the Fruits360 dataset. Throughout the discussion, the benefit of transfer learning will be clear.

This is a companion discussion topic for the original entry at