October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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Network Internals
This chapter provides a collection of recipes regarding the internals of a neural network. This includes tensor decomposition, weight initialization, topology storage, bottleneck features, and corresponding embeddings.
We will cover the following recipes:
- Visualizing training with TensorBoard
- Analyzing network weights and more
- Freezing layers
- Storing the network topology and trained weights
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.