August 2019
Intermediate to advanced
242 pages
5h 45m
English
Content preview from Hands-On Deep Learning with Go
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Basic structure
Now that you understand the layers, let's talk about the basic structure of a CNN. A CNN consists broadly of the following: an input layer, and then several layers of convolutional layers, activation layers, and pooling layers, before ending in a fully connected layer at the end to get to our final results.
The basic structure looks a little like the following:
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