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- Дата: 17-01-2023, 07:48
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Автор: Micheal Lanham
Издательство: Manning Publications
Год: 2023
Страниц: 436
Язык: английский
Формат: pdf, epub
Размер: 24.7 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. To enjoy this book, it is recommended you have some exposure working with and understanding how a Deep Learning framework like Keras or PyTorch function. While you don’t have to be an expert you should be comfortable enough identifying the key components of a Deep Learning system and how they function. If you understand at a high level the mathematical concepts that power deep learning you should also be fine learning new evolutionary methods. Since this is a hands-on book it is also recommended you have experience running Python code as a data scientist or Machine Learning engineer.