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Deep Learning: A Practitioner's Approach by [Patterson, Josh, Gibson, Adam]
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Deep Learning: A Practitioner's Approach 1st Edition, Kindle Edition

4.0 out of 5 stars 1 customer review

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Product description

About the Author

Adam Gibson is a deep­-learning specialist based in San Francisco who works with Fortune 500 companies, hedge funds, PR firms and startup accelerators to create their machine-­learning projects. Adam has a strong track record helping companies handle and interpret big real­time data. Adam has been a computer nerd since he was 13, and actively contributes to the open­-source community through deeplearning4j.org.

Josh Patterson currently runs a consultancy in the big data machine learning / deep learning space. Previously Josh worked as a Principal Solutions Architect at Cloudera and as a machine learning / distributed systems engineer at the Tennessee Valley Authority where he broughtHadoop into the smart grid with the openPDC project. Josh has a Masters in Computer Science from the University of Tennessee at Chattanooga where he did published research on mesh networks (tinyOS) and social insect optimization algorithms. Josh has over 17 years in software development and is very active in the open source space contributing to projects such as deeplearning4j, Apache Mahout, Metronome, IterativeReduce, openPDC, and JMotif.


Product details

  • Format: Kindle Edition
  • File Size: 22065.0 KB
  • Print Length: 538 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (28 July 2017)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B074D5YF1D
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 4.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #144,353 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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15 November 2017
Format: Paperback|Verified Purchase
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