Deep Learning: A Practitioner's Approach - Tapa blanda

Patterson, Josh; Gibson, Adam

 
9781491914250: Deep Learning: A Practitioner's Approach
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ISBN 10: 1491914254 ISBN 13: 9781491914250
Editorial: O'Reilly Media, 2017

Sinopsis

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learningâ especially deep neural networksâ make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.

Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, youâ ll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.

  • Dive into machine learning concepts in general, as well as deep learning in particular
  • Understand how deep networks evolved from neural network fundamentals
  • Explore the major deep network architectures, including Convolutional and Recurrent
  • Learn how to map specific deep networks to the right problem
  • Walk through the fundamentals of tuning general neural networks and specific deep network architectures
  • Use vectorization techniques for different data types with DataVec, DL4Jâ s workflow tool
  • Learn how to use DL4J natively on Spark and Hadoop

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Acerca del autor

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. 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 brought Hadoop 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.

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Editorial
O'Reilly Media
Año de publicación
2017
Idioma
Inglés
ISBN 10 
1491914254
ISBN 13 
9781491914250
Encuadernación
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Número de páginas
530
Contacto del fabricante
O'Reilly
https://oreilly.com

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no disponible

Otras ediciones populares con el mismo título

9789352136049: DEEP LEARNING A PRACTITIONER`S APPROACH [Paperback] [Jan 01, 2017] PATTERSON

Edición Destacada

ISBN 10:  9352136047 ISBN 13:  9789352136049
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