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easycnn's Introduction

EasyCNN

Easy convolution neural network framework.

small , clean , easy to understand !

blog about EasyCNN in Chinese.

Features

  • All in one : without any dependency,pure c++ implemented.
  • Basic layer : data layer,convolution layer,pooling layer,full connect layer,softmax layer,activation layers(sigmod,tanh,RELU)
  • Loss function : Cross Entropy,MSE.
  • Optimize method : SGD.

Examples

Todo List

  • fix train error when batch > 1 issue.
  • add load & save model function.
  • add more layer,such as batch normalization layer,dropout layer,etc.
  • add weight regular,gradient momentum.
  • port to other platforms,such as linux,mac,android,iOS,etc.
  • optimize network train/test speed,use cuBLAS/OpenBLAS etc.
  • add more optimize method.
  • add unit test.
  • add license.

Bug Report

Use github issues please.

Pull Request

Pull request is welcome.

License

This project is released under the WTFPL LICENSE.

easycnn's People

Contributors

bajiaoyezi avatar xylcbd avatar

Watchers

James Cloos avatar EricKing avatar

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