Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
by Jon Krohn, Grant Beyleveld, Aglaé Bassens
10. Machine Vision
Welcome to Part III, dear reader. Previously, we provided a high-level overview of particular applications of deep learning (Part I). With the foundational, low-level theory we’ve covered since (in Part II), you’re now well positioned to work through specialized content across a range of application areas, primarily via hands-on example code. In this chapter, for example, you’ll discover convolutional neural networks and apply them to machine vision tasks. In the remainder of Part III, we cover practical examples of:
Recurrent neural networks for natural language processing in Chapter 11
Generative adversarial networks for visual creativity in Chapter 12
Deep reinforcement learning for sequential decision making within complex, ...
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