July 2018
Intermediate to advanced
96 pages
2h 8m
English
Content preview from Hands-On Deep Learning for Images with TensorFlow
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Convolutions
In this section, we will learn about convolutions. We're going to see the structure of a convolutional network, and then we're going to apply that to two dimensions, just like we would if we were using it for an image. Finally, we're going to discuss the benefits of a convolutional network and why you would choose to use one.
Alright, let's get started! First, we're going to import the networkx packages and matplotlib, just like we did for the classical neural network:
Importing packages
The code here is similar to what we learned in the previous chapter, but there's a minor change:
Connecting from the inputs to the activation ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.