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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

The epoch.end.callback parameter

This is a callback function that allows you to register another function that is called after n epochs. Deep learning models take a long time to train, so you need some feedback to know they are working correctly! You can write a custom callback function to do whatever you need, but usually it outputs to the screen or log after n epochs. This is equivalent to the code in our neural network that printed a diagnostic message every 500 epochs. The callback function can also be used to save the model to disk, for example, if you wanted to save the model before it begins to overfit.

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Publisher Resources

ISBN: 9781788992893Supplemental Content