Chapter 11. Deep Learning in Image Processing - Object Detection, and more

In this chapter, we'll continue our discussion on the recent advances in image processing with deep learning. We will be dealing with a few problems in particular, and shall try to solve them using deep learning with deep CNNs. 

We will look at the object detection problem, understanding the basic concepts involved, then examine how to write code to solve the problem with object proposals and a You Only Look On (YOLO) v2 pre-trained deep neural network in Keras. You will be provided with resources that will help you in training the YOLO net.

Get ready to learn about transfer learning and solve deep segmentation problems using the DeepLab library. You will learn to specify which layers to train while training a deep learning model, and demonstrate a custom image classification problem by only learning the weights for the FC layers of a VGG16 network.

You may be surprised to learn how deep learning can be used in art generation...