Книга Interpretability in Deep Learning

Формат
Язык книги
Издательство
Год издания
Описание книги

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic. 

The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.

 

 

Характеристики
Издательство
Количество страниц
466
Доставка
Указать город доставки Чтобы видеть точные условия доставки
Варианты оплаты
Оплата картой (Mastercard / Visa / «Пакунок школяра»)
Только предоплата по счету (для юридических лиц)
Отзывы
Возникли вопросы? 0-800-335-425
Cвязаться
11151 грн