Evolutionary Deep Learning MEAP Version 10

Evolutionary Deep Learning (MEAP Version 10) Micheal Lanham
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 notbooks 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
Categories:
Computers – Artificial Intelligence (AI)
Year:
2022
Edition:
MEAP Version 10
Publisher:
Manning Publications
Language:
english
Pages:
309
ISBN 10:
1617299529
ISBN 13:
9781617299520
File:
109 MB