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Deep Learning: A Practitioner's Approach
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Deep Learning: A Practitioner's Approach Paperback - 2017 - 1st Edition

by Josh Patterson; Adam Gibson


Details

  • Title Deep Learning: A Practitioner's Approach
  • Author Josh Patterson; Adam Gibson
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Pages 530
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Date 2017-09-12
  • ISBN 9781491914250 / 1491914254
  • Weight 1.8 lbs (0.82 kg)
  • Dimensions 9.1 x 7 x 1 in (23.11 x 17.78 x 2.54 cm)
  • Library of Congress subjects Neural networks (Computer science), Machine learning
  • Dewey Decimal Code 006.31

About the author

Josh Patterson is CEO of Patterson Consulting, a solution integrator at the intersection of big data and applied machine learning. In this role, he brings his unique perspective blending a decade of big data experience and wide-ranging deep learning experience to Fortune 500 projects. At the Tennessee Valley Authority (TVA), Josh drove the integration of Apache Hadoop for large-scale data storage and processing of smart grid phasor measurement unit (PMU) data. Post-TVA, Josh was a principal solutions architect for a young Hadoop startup named Cloudera (CLDR), as employee 34. After leaving Cloudera, Josh co-founded the Deeplearning4j project and co-wrote Deep Learning: A Practitioner's Approach (O'Reilly Media). Josh was also the VP of Field Engineering for Skymind.

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 real-time data. Adam has been a computer nerd since he was 13, and actively contributes to the open source community through deeplearning4j.org.

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