Evolutionary Deep Learning - MEAP Version 10

Evolutionary Deep Learning - MEAP Version 10

Micheal Lanham
0 / 4.0
0 comments
你有多喜歡這本書?
文件的質量如何?
下載本書進行質量評估
下載文件的質量如何?
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.
-----
Chapters 1 to 11 of 12
年:
2022
版本:
MEAP Version 10
出版商:
Manning Publications
語言:
english
頁數:
309
ISBN 10:
1617299529
ISBN 13:
9781617299520
文件:
PDF, 13.09 MB
IPFS:
CID , CID Blake2b
english, 2022
下載 (pdf, 13.09 MB)
轉換進行中
轉換為 失敗

最常見的術語