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English | 2022 | ISBN: 9781617299520 | 309 pages | True PDF | 13.09 MB
Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment.
Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser- known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning.
Google Colab notebooks make it easy to experiment and play around with each exciting example. By the time you've finished reading Evolutionary Deep Learning, you'll be ready to build deep learning models as self-sufficient systems you can efficiently adapt to changing requirements.
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