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Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence by Grant Beyleveld, Aglaé Bassens, Jon Krohn

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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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