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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Overview of hyperparameter tuning
Hyperparameter tuning works by running multiple trials in a single training job. Each trial is a complete execution of your training application, with values for your chosen hyperparameters set within the limits you specify. The Cloud ML Engine training service keeps track of the results of each trial and makes adjustments for subsequent trials. When the job is finished, you can get a summary of all the trials, along with the most effective configuration of values according to the criteria you specify.
We want to select those hyperparameters that give the best performance. This amounts to an optimization problem, specifically, the problem of optimizing a function f(x) (that is, performance as a function of ...
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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.