What this book covers
Chapter 1, Programming Environments, GPU Computing, Cloud Solutions, and Deep Learning Frameworks, includes information and recipes related to environments and GPU computing. It is a must-read for readers who have issues in setting up their environment on different platforms.
Chapter 2, Feed-Forward Neural Networks, provides a collection of recipes related to feed-forward neural networks and forms the basis for the other chapters. The focus of this chapter is to provide solutions to common implementation problems for different network topologies.
Chapter 3, Convolutional Neural Networks, focuses on convolutional neural networks and their application in computer vision. It provides recipes on techniques and optimizations ...
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