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Advanced Machine Learning with Python

You're reading from   Advanced Machine Learning with Python Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781784398637
Length 278 pages
Edition 1st Edition
Languages
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Toc

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
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