Learning TensorFlow: A Guide to Building Deep Learning Systems

Learning TensorFlow: A Guide to Building Deep Learning Systems

作者: Tom Hope Yehezkel S. Resheff Itay Lieder
出版社: O'Reilly
出版在: 2017-09-12
ISBN-13: 9781491978511
ISBN-10: 1491978511
裝訂格式: Paperback
總頁數: 242 頁





內容描述


TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers.
With this book you will learn how to:

Get up and running with TensorFlow, rapidly and painlessly
Build and train popular deep learning models for computer vision and NLP
Apply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needs
Train models at scale, and deploy TensorFlow in a production setting




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