#cppconvnet #Convolutional Neural Networks in C++,vgg-f,vgg-19

cppconvnet is a light convolution neural netwrok system depending on the least but performing greate. It's written by C++ and it has high performance in image field,and the original system is the matconvnet. cppconvnet is designed for anyone who uses C++ language to study deep learning or something like it. So far,It has supported the basic features ,such as, convolution,relu activation function,max pooling,noramlization,and softmax classification function.

Homepage: cppconvnet
Author: @s5248
Contact me: huangzb007@gmail.com

Versions:

• 24/11/2015 - cppconvnet 1.0.0 Beta Release. Important milestone for cppconvnet.

Dependence:

principle:least dependencies but greate performace.

opencv2.4.9 or above: Provides a tool for loading and converting images to memory data.
OpenBlas: Provides core functions like cblas_gemm used to speed up convolution.

Thanks to:

matconvnet: A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.

Supplying:

convolution operation using OpenBLAS.
Relu activation function.
pooling operation.
noramlization operation.
softmax classification.
feature extraction and feature matching.
classification of many images once a time and their confidence level. support for vgg-f model and so like and little modifications to support other model.

In Planning:

add training process.
add support for GPU add various classification method such as SVM,ANN_MLP. add documentation for details.

Documentation:

A guide book of cppconvnet:
Guide Book of matconvnet

Build:

waiting for Makefile.

Feedback:

If you have any question, please submit comment here or mention me on csdn.
Technical issues are also welcomed to be submitted on GitHub.