Sale!

Learning TensorFlow: A Guide to Building Deep Learning Systems

Amazon.com Price:  $28.99 (as of 22/04/2019 22:29 PST- Details)

Categories: , , , , , , , , , , , , , ,

Description

Roughly inspired by the human brain, deep neural networks trained with quite a lot 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.

Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on technique to TensorFlow fundamentals for a broad technical target audience—from data scientists and engineers to students and researchers. You’ll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Whenever you finish this book, you’ll know the way to build and deploy production-in a position deep learning systems in TensorFlow.

  • Get up and running with TensorFlow, all of a sudden and painlessly
  • Learn learn how to use TensorFlow to build deep learning models from the bottom up
  • Train popular deep learning models for computer vision and NLP
  • Use extensive abstraction libraries to make development more straightforward and faster
  • Learn learn how to scale TensorFlow, and use clusters to distribute model training
  • Deploy TensorFlow in a production setting

Related products

Home » Shop » Books » Specialty Boutique » New, Used and Rental Textbooks » Computer Science » AI and Machine Learning » Intelligence and Semantics » Learning TensorFlow: A Guide to Building Deep Learning Systems

Recent Products