Considering TensorFlow for the Enterprise

An Overview of the Deep Learning Ecosystem

Considering TensorFlow for the Enterprise

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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

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Allen Leis

Allen Leis is an experienced data engineer and sometimes data scientist located in Washington D.C.. While his former life entailed developing web systems for the U.S. Navy, U.S. Senate, and nonprofit organizations - he is currently devoted to the technological “wild west” of data analytics and machine learning. Allen is presently working as a consultant and software engineer for a variety of data science startups in order to bootstrap their data ingestion, wrangling, and machine learning efforts. When not heroically solving big data engineering and distributed computing problems, he can usually be found teaching for Georgetown University’s Data Science certificate program or indulging in his hobby of computer science graduate courses at the University of Maryland.

Sean Murphy

Sean Patrick Murphy, with degrees in mathematics, electrical engineering, and biomedical engineering and an MBA from Oxford University, has served as a senior scientist at the Johns Hopkins Applied Physics Laboratory for the past ten years. Previously, he served as the Chief Data Scientist at WiserTogether, a series A funded health care analytics firm, and the Director of Research at Manhattan Prep, a boutique graduate educational company. He was also the co-founder and CEO of a big data-focused startup: CloudSpree.