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Chapter 15: Convolutional Neural Networks

Chapter 15: Convolutional Neural Networks

pp. 333-364

Authors

, Nanjing University, China
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Summary

We cannot miss deep learning in a modern pattern recognition textbook, and we introduce CNN (convolutional neural networks) in this chapter. Although the mathematical derivation of CNN, especially the back-propagation process and gradient computation, is complex, we use a lot of useful tools to help readers understand what exactlyis going on in a CNN. Hence, this chapter focuses on accessibility rather than completeness. In its exercise problems, we introduce more relevant topics and methods.

Keywords

  • deep learning
  • convolutional neural networks
  • tensor
  • back-propagation
  • convolution
  • ReLU
  • receptive field
  • pooling

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