April 2018
Beginner to intermediate
500 pages
11h 26m
English
book
Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Content preview from Hands-On Machine Learning on Google Cloud Platform
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Creating custom estimators
A premade estimator limits the full potential to which TensorFlow can be used; for example, we would not be able to have different dropout values after different layers. In this regard, let's go ahead and create a function of our own, as follows:
Let's explore each part of the preceding snippet of code in detail:
The function takes features (independent variables) and labels (dependent variable) as input. mode indicates whether we want to train, predict, or evaluate the given data.
params provides us with the functionality ...
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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.