Tag: Neural Networks

Intelligent Systems, 2nd Edition Front Cover

Intelligent Systems, 2nd Edition

  • Length: 610 pages
  • Publication Date: 2011-02-28
0
0 ratings
Blind Equalization in Neural Networks Front Cover

Blind Equalization in Neural Networks

  • Length: 256 pages
  • Publication Date: 2017-12-18
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Machine Learning: A Constraint-Based Approach Front Cover

Machine Learning: A Constraint-Based Approach

  • Length: 580 pages
  • Publication Date: 2017-11-27
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Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles Front Cover

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

  • Length: 270 pages
  • Publication Date: 2017-09-27
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Neural Network Methods in Natural Language Processing Front Cover

Neural Network Methods in Natural Language Processing

  • Length: 310 pages
  • Publication Date: 2017-04-17
4.3
7 ratings
Learning TensorFlow: A Guide to Building Deep Learning Systems Front Cover

Learning TensorFlow: A Guide to Building Deep Learning Systems

  • Length: 242 pages
  • Publication Date: 2017-08-09
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Deep Learning for Computer Architects Front Cover

Deep Learning for Computer Architects

  • Length: 124 pages
  • Publication Date: 2017-08-22
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Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems Front Cover

Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems

  • Length: 504 pages
  • Publication Date: 2015-05-29
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Python Deep Learning Front Cover

Python Deep Learning

  • Length: 406 pages
  • Publication Date: 2017-05-04
3.9
9 ratings
Neural Network Programming with Java, 2nd Edition Front Cover

Neural Network Programming with Java, 2nd Edition

  • Length: 270 pages
  • Publication Date: 2017-03-14
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0 ratings
Hands-On Machine Learning with Scikit-Learn and TensorFlow Front Cover

Hands-On Machine Learning with Scikit-Learn and TensorFlow

  • Length: 581 pages
  • Publication Date: 2017-04-07
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Deep Time Series Forecasting with Python: An Intuitive Introduction to Deep Learning for Applied Time Series Modeling Front Cover

Deep Time Series Forecasting with Python: An Intuitive Introduction to Deep Learning for Applied Time Series Modeling

  • Length: 212 pages
  • Publication Date: 2016-12-11
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