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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Building a convolutional neural network
In this section, we're going to build a full convolutional neural network. We're going to cover the MNIST digits and transform that data to have channels construct the convolutional neural network with multiple layers, and then finally, run and train our convolutional neural network and see how it compares to the classical dense network.
Alright! Let's load up our MNIST digits, as shown in the following screenshot :
Loading MNIST digits
You can see that we're performing a similar operation to what we did for the dense neural network, except we're making a fundamental transformation to the data. Here, ...
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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.