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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

The structure of a convolutional network

Before going further, let's put together everything we have learned so far. In the figure following we can see the structure of a basic CNN:

A basic convolutional network with convolutional and fully-connected layers in blue and pooling layers in green

Most CNNs share basic properties. Here are some of them:

  • We would typically alternate one or more convolutional layers with one pooling layer. In this way, the convolutional layers can detect features at every level of the receptive field size. The aggregated receptive field size of deeper layers is larger than the ones at the beginning of the network. ...
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Publisher Resources

ISBN: 9781789348460Supplemental Content