MyCafe:全C#重新写《咖啡加强化学习》 (MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning)

Over the past few years Caffe, from Berkeley AI Research, has gained a strong following in the deep learning community with over 15K forks on the github.com/BLVC/Caffe site. With its well organized, very modular C++ design it is easy to work with and very fast. However, in the world of Windows development, C# has helped accelerate development with many of the enhancements that it offers over C++, such as garbage collection, a very rich .NET programming framework and easy database access via Entity Frameworks. So how can a C# developer use the advances of C# to take full advantage of the benefits offered by the Berkeley Caffe deep learning system? The answer is the fully open source, 'MyCaffe' for Windows .NET programmers. MyCaffe is an open source, complete C# language re-write of Berkeley's Caffe. This article describes the general architecture of MyCaffe including the newly added MyCaffeTrainerRL for Reinforcement Learning. In addition, this article discusses how MyCaffe closely follows the C++ Caffe, while talking efficiently to the low level NVIDIA CUDA hardware to offer a high performance, highly programmable deep learning system for Windows .NET programmers.

翻译：在过去几年里,伯克利AI 研究所的咖啡因在深层次的学习社区中获得了强大的追随者。在 github.com/BLVC/Cafe 站点上有15K以上叉子的15K的深层学习社区中, Cffe 获得了强大的追随者。由于它的组织完善、非常模块化的C++设计, 它很容易与Windows开发工作, 并且非常快速。然而, 在Windows开发的世界中, C#帮助加快了发展, 因为它在C++ 上提供了许多增强功能, 比如垃圾收集, 一个非常丰富的. NET 编程框架以及通过实体框架访问数据库。因此, C# 开发者如何利用 C# 的进步来充分利用 Berkeley Cafe 深层学习系统提供的好处? 答案是完全开放的源, “ MyCafe ” (MyCafe) 。 MyCafe 是一个开放源, 完成 C# 语言的重写Cwrite of C++Wer' Cafe com Produstrual Production of System 。