Deep Neural Networks In A Mathematical Framework - Anthony L. Caterini

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Deep Neural Networks In A Mathematical Framework - Anthony L. Caterini

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Deep Neural Networks In A Mathematical Framework - Anthony L. Caterini

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Deep Neural Networks In A Mathematical Framework - Anthony L. Caterini

This Springerbrief Describes How To Build A Rigorous End-to-end Mathematical Framework For Deep Neural Networks. The Authors Provide Tools To Represent And Describe Neural Networks, Casting Previous Results In The Field In A More Natural Light. In Particular, The Authors Derive Gradient Descent Algorithms In A Unified Way For Several Neural Network Structures, Including Multilayer Perceptrons, Convolutional Neural Networks, Deep Autoencoders And Recurrent Neural Networks.
  • Brand: Unbranded
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publication Date: 2018-04-03
  • Publisher / Label: Springer Nature B.V
  • Author: Anthony L. Caterini
  • Number of Pages: 100
  • Fruugo ID: 469768627-983723578
  • ISBN: 9783319753034
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