Considering TensorFlow for the Enterprise

Considering TensorFlow for the Enterprise

by Sean Murphy, Allen Leis
Released December 2017
Publisher(s): O'Reilly Media, Inc.
ISBN: 9781491995068

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

Deep learning is enabling the next generation of successful companies. The question is no longer whether enterprises will use deep learning (they will), but how involved each organization becomes with the technology.

Sean Murphy and Allen Leis introduce deep learning from an enterprise perspective and offer an overview of the TensorFlow library and ecosystem. If your company is adopting deep learning, this report will help you navigate the initial decisions you must make—from choosing a deep learning framework to integrating deep learning with the other data analysis systems already in place—to ensure you're building a system capable of handling your specific business needs.

  • Explore fundamental concepts and core questions about deep learning in the enterprise
  • Familiarize yourself with available framework options, including TensorFlow, MXNet, Microsoft Cognitive Toolkit, and Deeplearning4J
  • Dive into TensorFlow's library and ecosystem, from tools such as estimators, prebuilt neural networks, Keras, ML Toolkit for TensorFlow, Tensor2Tensor (T2T), TensorBoard, and TensorFlow Debugger, to model deployment and management with TensorFlow Serving
  • See how companies such as Jet.com and PingThings have implemented deep learning to improve the accuracy and enhance the performance of a number of tasks

Product information

  • Title: Considering TensorFlow for the Enterprise
  • Author(s): Sean Murphy, Allen Leis
  • Release date: December 2017
  • Publisher(s): O'Reilly Media, Inc.
  • ISBN: 9781491995068