February 2019
Intermediate to advanced
260 pages
6h 3m
English
So far, we've examined all the building blocks needed to build a Convolutional Neural Network (CNN), and that's exactly what we are going to do in this section, where we explain why convolution is so efficient and widely used.
Here's the architecture of a CNN:

First, we start with a 28 x 28 grayscale image, so we have one channel that's just a black-and-white image. For now, it doesn't really matter, but these are handwritten digit images taken from the MNIST dataset that we saw in the previous chapter.
In the first layer, we'll apply a 5 x 5 filter, a convolution feed filter, with a stride ...
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