NumPyNet - Neural Networks Library in pure Numpy
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Contents:

  • NumPyNet API
    • NumPyNet layers
      • Activation layer
      • Batchnorm layer
      • Connected layer
      • Convolutional layer
      • Cost layer
      • Dropout layer
      • Input layer
      • L1Norm layer
      • L2Norm layer
      • Logistic layer
      • Maxpool layer
      • Route layer
      • Shortcut layer
    • NumPyNet utility
  • References
NumPyNet - Neural Networks Library in pure Numpy
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  • NumPyNet API »
  • NumPyNet layers
  • Edit on GitHub

NumPyNet layers

  • Activation layer
  • Batchnorm layer
  • Connected layer
  • Convolutional layer
  • Cost layer
  • Dropout layer
  • Input layer
  • L1Norm layer
  • L2Norm layer
  • Logistic layer
  • Maxpool layer
  • Route layer
  • Shortcut layer
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© Copyright 2020, Nico Curti, Mattia Ceccarelli. Revision c5e21775.

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