cjmcv / dlex-cnn

DIY - A deep learning framework

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dlex-cnn : Deep Learning Exercise

A simple convolution neural network framework for exercise.


Features

  • Lightweight, pure c++ and cuda implemented.
  • Easy to understand, and the algorithm implementation details are presented as annotations.

Basic Modules

Experiment

Build

Windows: Just open the project file with VS2013 or VS2015, and compile it.

Linux:

Build libdlex_cnn.so

cd linux/cmake
cmake ..
make

Build demo

cd linux/dlex_cnn_test/cmake
cmake ..
make 

License

MIT

Reference

About

DIY - A deep learning framework

License:MIT License


Languages

Language:C++ 86.8%Language:Cuda 12.1%Language:CMake 1.1%