You're reading from Hands-On Neural Networks with Keras

Product typeBook

Published inMar 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789536089

Edition1st Edition

Languages

Python

Tools

Keras

Concepts

Neural Networks

Author (1)

Niloy Purkait

Automatic optimization and evolutionary algorithms

Fortunately, many tools exist that allow such automatic parameter optimization. Talos (https://github.com/autonomio/talos) is one such tool built on top of the Keras library, made available as open source on GitHub. It allows you to predefine a set of hyperparameters (such as different number of layers, neurons per layer, and activation functions), after which the tool will automatically train and compare those Keras models to assess which one performs better.

Other solutions such as Hyperas (https://github.com/maxpumperla/hyperas ) or auto_ML (https://auto-ml.readthedocs.io/en/latest/) allow similar functionalities and can help drastically reduce development time, allowing you to discover what hyperparameters work best for your task. In fact, you can use such tools and make your own genetic algorithms that help you select from...

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Hands-On Neural Networks with Keras

Published in: Mar 2019Publisher: PacktISBN-13: 9781789536089

Author (1)

Niloy Purkait

Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
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Author (1)

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