August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Converting convolution layers into fully connected layers
Actually, we can consider fully connected layers as a subset of convolution layers. It’s possible to convert a CNN layer into a fully connected layer if we set the kernel size to match the input size. Setting the number of filters is then the same as setting the number of output neurons in a fully connected layer. Check for yourself that in this case, the operations will be the same.
Example:
Consider an FC layer with 4,096 output neurons and input of size 7x7x512, the conversion would be:
Conv layer: Kernel:7x7, Pad:0, Stride:1, Filters:4,096.
Using the formula to calculate output size, we get an output of size 1 x 1 x 4096.
One of the main reason for doing this is so that your network ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.