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  • Glassner, Andrew S., author.
     
     Subjects
     
  •  
  • Deep learning (Machine learning)
     
  •  
  • Machine learning.
     
  •  
  • Neural networks (Computer science)
     
  •  
  • Artificial intelligence.
     
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  •  Deep learning : a vi...
     
     
     
     MARC Display
    Deep learning : a visual approach / Andrew Glassner.
    by Glassner, Andrew S., author.
    View full image
    San Francisco, CA : No Starch Press, [2021]
    Subjects
  • Deep learning (Machine learning)
  •  
  • Machine learning.
  •  
  • Neural networks (Computer science)
  •  
  • Artificial intelligence.
  • ISBN: 
    9781718500723 (paperback) :
    1718500726 (paperback) :
    Description: 
    xxviii, 736 pages : color illustrations 24 cm
    Contents: 
    Part I: Foundational ideas -- An overview of machine learning -- Essential statistics -- Measuring performance -- Bayes' rule -- Curves and surfaces -- Information theory -- Part II: Basic machine learning -- Classification -- Training and testing -- Overfitting and underfitting -- Data preparation -- Classifiers -- Ensembles -- Part III: Deep learning basics -- Neural networks -- Backpropagation -- Optimizers -- Part IV: Beyond the basics -- Convolutional neural networks -- Convnets in practice -- Autoencoders -- Recurrent neural networks -- Attention and transformers -- Reinforcement learning -- Generative adversarial networks -- Creative applications.
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    Summary: 
    "A practical, thorough introduction to deep learning, without the usage of advanced math or programming. Covers topics such as image classification, text generation, and the machine learning techniques that are the basis of modern AI"--
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    Copy/Holding information
    LocationCollectionCall No.Status 
    Hawaii State LibraryBusiness, Science & Technology006.31 GlChecked InAdd Copy to MyList
    Wahiawa Public LibraryAdult Nonfiction006.31 GlChecked InAdd Copy to MyList


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