November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Summary
In this chapter, we covered the major areas of TensorBoard--EVENTS, HISTOGRAMS, and viewing GRAPH. We modified popular models to see the exact changes required before TensorBoard could be up and running. This should have demonstrated the fairly minimal effort required to get started with TensorBoard.
Finally, we focused on various popular models by viewing their network design. We did this by instrumenting the code with TensorBoard hooks and using the TensorBoard Graph Explorer to deep dive into the network setups.
The reader should now be able to use TensorBoard more effectively, gauge training performance, and plan runs and modify training scripts.
Next, we're going to jump into convolutional networks. We'll use parts of our prior ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.