November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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The pipeline
We will go about this intelligently. There are a lot of pipeline model structures made by Google using different networks in their TensorFlow library. What we'll do here is take one of those model structures and networks and modify the code to our needs.
This is good because we won't waste our time building a pipeline from scratch and won't have to worry about incorporating the TensorBoard visualization stuff as it is already present in the Google pipeline models.
We will use a pipeline model from here:
https://github.com/tensorflow/models/
As you can see, there are a lot of different models made in TensorFlow in this repository. You can dive deeper into some models that are related to natural language processing (NLP), recursive ...
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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.