CaffeBean

A deep learning framework in cpp [NOT COMPLETED YET]

The implementation of this code is heavily borrowed from Caffe, runs only on cpu and the efficiency should be extremely low(when it's completed), help me with it if you're interested 😉

🗒This repo include:

CaffeBean
Eigen -- A C++ template library for linear algebra
googletest -- for unit test
jsoncpp -- A C++ library for interacting with JSON
Boost.Gil -- Generic Image Library
Note that all these 3rd-party libraries except Boost.Gil had been contained in lib folder, after you have Boost.Gil correctly installed, clone the repo by

git clone https://github.com/SiriusKY/CaffeBean.git

then use cmake tool like

cmake -DCMAKE_BUILD_TYPE=Debug -G "CodeBlocks - Unix Makefiles" /path/to/CaffeBean
cmake --build /path/to/CaffeBean/cmake-build-debug --target CaffeBean -- -j 4

Now you are ready to go!

/path/to/CaffeBean/cmake-build-debug/CaffeBean

🗓Progress

Input Layer
Fully Connected Layer
L1 Loss Layer
Relu Layer
Pooling Layer(not fully completed)
Softmax Loss Layer
Convolution Layer
Reshape Layer
Accuracy Layer

✏️TODO

Finish as more layers as possible (important:Conv Layer)
A python API

💪🏻If by any chance you want to contribute

Write the code
Add unit test in CaffeBean/lib/tests.cpp
PR

🎯What's more

It's a toy, don't be serious