Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)

by Dong Eui Chang (Contributor), Anthony L. L. Caterini (Author)

• New

  Paperback
  2018

  $62.38

  This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. 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.