Название: Regularization in Deep Learning
Автор: Peng Liu
Издательство: Manning Publications
Год: 2022 MEAP V3
Формат: True PDF
Страниц: 177
Размер: 11,1 Mb
Язык: English

Make your deep learning models more generalized and adaptable! These practical regularization techniques improve training efficiency and help avoid overfitting errors. Regularization in Deep Learning teaches you how to improve your model performance with a toolbox of regularization techniques. It covers both well-established regularization methods and groundbreaking modern approaches. Each technique is introduced using graphics, illustrations, and step-by-step coding walkthroughs that make complex math easy to follow.



ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШЕМ СЮДА!