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Advanced Machine Learning with Python
book

Advanced Machine Learning with Python

by John Hearty
July 2016
Intermediate to advanced
278 pages
6h 48m
English
Packt Publishing
Content preview from Advanced Machine Learning with Python

Chapter 4. Convolutional Neural Networks

In this chapter, you'll be learning how to apply the convolutional neural network (also referred to as the CNN or convnet), perhaps the best-known deep architecture, via the following steps:

  • Taking a look at the convnet's topology and learning processes, including convolutional and pooling layers
  • Understanding how we can combine convnet components into successful network architectures
  • Using Python code to apply a convnet architecture so as to solve a well-known image classification task

Introducing the CNN

In the field of machine learning, there is an enduring preference for developing structures in code that parallel biological structures. One of the most obvious examples is that of the MLP neural network, ...

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Publisher Resources

ISBN: 9781784398637