Evolutionary Deep Learning - MEAP Version 10

Evolutionary Deep Learning - MEAP Version 10

Micheal Lanham
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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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Chapters 1 to 11 of 12
Год:
2022
Издание:
MEAP Version 10
Издательство:
Manning Publications
Язык:
english
Страницы:
309
ISBN 10:
1617299529
ISBN 13:
9781617299520
Файл:
PDF, 13.09 MB
IPFS:
CID , CID Blake2b
english, 2022
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