November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Classifying two-dimensional clusters
In this section, we are going to implement the logistic regression model using the core API of TensorFlow.js. This means that we will build the model by combining several kernel ops that are provided by the TensorFlow.js core API. You'll come to fully understand how the model works by implementing the algorithm from scratch.
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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.