Deep Learning by Josh Patterson and Adam Gibson
Author:Josh Patterson and Adam Gibson
Language: eng
Format: mobi
Publisher: O'Reilly Media, Inc.
Published: 2017-08-09T16:00:00+00:00
Good Initial Learning Rates
Ideally, we begin with a large learning rate, and if the learning process diverges, we divide this rate by a factor and try again until the learning process begins to converge.
We suggest starting out with the following learning rates and then see which is the most stable: [ 0.1, 0.01, 0.001 ], with 0.001 being one of the most popular places to begin.
We also suggest trying learning rate methods in the following order:
Adam Currently recommended as the default method to use
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