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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 content levelIntermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Convolutional layers

The convolutional layer is the most important building block of a CNN. It consists of a set of filters (also known as kernels or feature detectors), where each filter is applied across all areas of the input data. A filter is defined by a set of learnable weights. As a nod to the topic at hand, the following image illustrates this very well:

Displayed is a two-dimensional input layer of a neural network. For the sake of simplicity, we'll assume that this is the input layer, but it can be any layer of the network. As we've seen in the previous chapters, each input neuron represents the color intensity of a pixel (we'll ...

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Publisher Resources

ISBN: 9781789348460Supplemental Content