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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.

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