Deep Learning: A Practitioner's Approach 1st Edition, Kindle Edition

4.2 out of 5 stars 61 ratings
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ISBN-13: 978-1491914250
ISBN-10: 1491914254
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From the Publisher

Deep Learning Fundamentals of Deep Learning
Deep Learning Fundamentals of Deep Learning
Deep Learning from O'Reilly Media: A Practitioner's Approach Designing Next-Generation Machine Intelligence Algorithms

Editorial Reviews

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

--This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B074D5YF1D
  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (July 28, 2017)
  • Publication date ‏ : ‎ July 28, 2017
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 19550 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 538 pages
  • Lending ‏ : ‎ Not Enabled
  • Customer Reviews:
    4.2 out of 5 stars 61 ratings

Customer reviews

4.2 out of 5 stars
4.2 out of 5
61 global ratings
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Reviewed in the United States on March 18, 2018
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Reviewed in the United States on October 3, 2018
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Reviewed in the United States on August 27, 2018
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Reviewed in the United States on September 26, 2017
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Reviewed in the United States on April 20, 2018
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Reviewed in the United States on March 17, 2018
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Reviewed in the United States on March 12, 2018
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Andy Johnson
4.0 out of 5 stars Good balance between theory and practice
Reviewed in the United Kingdom on November 15, 2017
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8 people found this helpful
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Daniel
5.0 out of 5 stars In-depth theory and practice for deep learning with DL4J
Reviewed in the United Kingdom on July 7, 2018
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Istvan
2.0 out of 5 stars The first 4 chapters about DL are fine - but then the book turns into an advocate ...
Reviewed in Canada on October 7, 2017
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jgonzalp
4.0 out of 5 stars En general bien
Reviewed in Mexico on May 15, 2019
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Mohammed Ali Alawi Shehab
5.0 out of 5 stars Perfect choice
Reviewed in Canada on June 30, 2018
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