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The Resource Deep learning : a practitioner's approach, Josh Patterson and Adam Gibson

Deep learning : a practitioner's approach, Josh Patterson and Adam Gibson

Label
Deep learning : a practitioner's approach
Title
Deep learning
Title remainder
a practitioner's approach
Statement of responsibility
Josh Patterson and Adam Gibson
Creator
Contributor
Author
Subject
Language
eng
Cataloging source
YDXCP
http://library.link/vocab/creatorName
Patterson, Josh
Dewey number
006.3/1
Illustrations
illustrations
Index
index present
LC call number
QA325.5
LC item number
.P38 2017
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Gibson, Adam
http://library.link/vocab/subjectName
  • Machine learning
  • Neural networks (Computer science)
  • Open source software
Label
Deep learning : a practitioner's approach, Josh Patterson and Adam Gibson
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
A review of machine learning -- Foundations of neural networks and deep learning -- Fundamentals of deep networks -- Major architecture of deep networks -- Building deep networks -- Tuning deep networks -- Tuning specific deep network architectures -- Vectorization -- Using deep learning and DL4J on Spark -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know -- Neural networks and backpropagation: a mathematical approach -- Using the ND4J API -- Using DataVec -- Working with DL4J from source -- Setting up DL4J projects -- Setting up GPUs for DL4J projects -- Troubleshooting DL4J installations
Control code
ocn902657832
Dimensions
24 cm
Edition
First edition.
Extent
xxi, 507 pages
Isbn
9781491914250
Media category
unmediated
Media MARC source
rdamedia
Other physical details
illustrations
System control number
(OCoLC)902657832
Label
Deep learning : a practitioner's approach, Josh Patterson and Adam Gibson
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
A review of machine learning -- Foundations of neural networks and deep learning -- Fundamentals of deep networks -- Major architecture of deep networks -- Building deep networks -- Tuning deep networks -- Tuning specific deep network architectures -- Vectorization -- Using deep learning and DL4J on Spark -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know -- Neural networks and backpropagation: a mathematical approach -- Using the ND4J API -- Using DataVec -- Working with DL4J from source -- Setting up DL4J projects -- Setting up GPUs for DL4J projects -- Troubleshooting DL4J installations
Control code
ocn902657832
Dimensions
24 cm
Edition
First edition.
Extent
xxi, 507 pages
Isbn
9781491914250
Media category
unmediated
Media MARC source
rdamedia
Other physical details
illustrations
System control number
(OCoLC)902657832

Library Locations

    • Lawrence BranchBorrow it
      2751 Brunswick Pike, Lawrenceville, NJ, 08648, US
      40.265937 -74.718554
    • West Windsor BranchBorrow it
      333 North Post Road, Princeton Junction, NJ, 08550, US
      40.3058488 -74.6323517
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