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深度学习应用框架，专注于深度学习的工程应用

CMake 0.74% Makefile 0.18% Batchfile 0.02% Shell 0.19% C++ 26.74% Cuda 2.38% HTML 0.05% CSS 0.06% Jupyter Notebook 64.72% Python 4.16% MATLAB 0.23% PowerShell 0.01% C 0.53%

ccdl's Introduction

CCDL

深度学习应用框架，专注于深度学习的工程应用方面
为了更容易的使用和部署深度学习，极简主义，easy to use. easy!!!
目前集中精力在windows下，将来也会支持linux系统

编译工具

visual studio 2013，建议使用这个版本。目前编译全部是静态编译方式，最后也仅仅依赖几个OpenBlas的dll(该DLL在CPU上可以实现大约3-5倍的加速，所以很有必要)或者甚至不依赖dll，即可发布您的软件

特性：

添加了Center Loss，以支持人脸识别的训练
添加了SSD，以支持对目标检测的支持
添加了多标签支持，以实现多任务或OCR、验证码类的识别任务
添加了Win32、x64，CPU、GPU的支持，方便应用到各个领域上
添加了调用的cpp接口、c语言接口，实现分类和其他识别任务，以实现支持例如：C#、C++、C、易语言等快速开发
添加了模型压缩的方法，实现对训练模型的压缩工作，目前nin网络实现5倍的压缩，精度损失极小。
添加了多图模式，使得轻易就能够搭建高性能识别服务器
添加了任务池，高性能服务器的神器
添加了Socket-Server，通过socket调用caffe，这样可以支持win32的GPU调用或者其他语言的调用
添加了LSTM-CTC的支持，以备后续对序列方面训练的支持
添加了MTCNN的训练和精简集成版MTCNN-light的支持

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