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Название: Learning TensorFlow: A Guide to Building Deep Learning Systems
Автор: Tom Hope, Yehezkel Resheff, Itay Lieder
Издательство: O'Reilly Media
Год: 2017
Страниц: 242
Формат: True PDF, EPUB, AZW3
Размер: 17 Mb
Язык: English
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.