November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Implementing TensorFlow in production
When it comes to software engineering, we see several best practices, like version control through GitHub, reusable libraries, continuous integration, and others, which have made developers more productive. Machine learning is a new field where there is a definite need for some tooling to make model deployment simple and improve a data scientist's productivity. In that respect, TensorFlow has released a host of tools recently.
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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.