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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Inception module
The Inception module (or block of layers) aims to cover a large area but also keep a fine resolution in order to see the important local information in images as well. In addition to creating deeper networks, the inception block introduces the idea of parallel convolutions. What we meant by this is that in-parallel convolutions of different sizes are performed on the output of the previous layer.
A naive view of the inception layer can be seen here:
Basically, the idea of the inception block is to use all available kernel sizes and operations to cover the most information possible and let the backpropagation decide what to ...
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