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Deep Learning and the Game of Go
book

Deep Learning and the Game of Go

by Kevin Ferguson, Max Pumperla
January 2019
Intermediate to advanced content levelIntermediate to advanced
384 pages
13h 27m
English
Manning Publications
Content preview from Deep Learning and the Game of Go

Chapter 5. Getting started with neural networks

This chapter covers

  • Introducing the fundamentals of artificial neural networks
  • Teaching a network to recognize handwritten digits
  • Creating neural networks by composing layers
  • Understanding how neural networks learn from data
  • Implementing a simple neural network from scratch

This chapter introduces the core notions of artificial neural networks (ANNs), a class of algorithms central to modern-day deep learning. The history of artificial neural networks is a surprisingly old one, dating back to the early 1940s. It took many decades for its applications to become vast successes in many areas, but the basic ideas remain in effect.

At the core of ANNs is the idea to take inspiration from neuroscience ...

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