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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

The Inception model

Inception was created by the team at Google in 2014. The main idea was to create deeper and wider networks while limiting the number of parameters and avoiding overfitting. The following image shows the full Inception module:

Architecture of Inception model (naive version), from going deeper with convolutions by Szegedy et al.(https://arxiv.org/pdf/1409.4842.pdf)

It applies multiple convolutional layers for a single input and outputs the stacked output of each convolution. The size of convolutions used are mainly 1x1, 3x3, and 5x5. This kind of architecture allows you to extract multi-level features from the same-sized ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content