Hands-On Java Deep Learning for Computer Vision

What this book covers

Chapter 1, Introduction to Computer Vision and Training Neural Networks, introduces the reader to the concepts of deep neural networks and their learning process. We shall also learn how to train a neural network model in the most efficient manner. 

Chapter 2, Convolution Neural Network Architectures, explains how a convolutional network is a fundamental part of computer vision and describes how to build a handwritten digit recognizer.

Chapter 3, Transfer Learning and Deep CNN Architectures, delves into the details of widely used deep convolution architectures and how to use transfer learning to get the most out of these architectures. This chapter concludes with the building of a Java application for animal image classification ...