论文标题
Anndotnet- .NET平台上的深度学习工具
ANNdotNET -- deep learning tool on .NET Platform
论文作者
论文摘要
Anndotnet是一个开源项目，用于在C＃中撰写的深度学习，具有创建，训练，评估和导出深度学习模型的能力。该项目由能够在视觉上准备数据，微调超参数，设计网络体系结构，评估和测试训练的模型的图形用户界面模块组成。 Anndotnet介绍了视觉网络设计器（VND），用于视觉上设计几乎所有顺序的深度学习网络。除了VND外，Anndotnet在CNTK-深度学习框架上实现了机器学习引擎（MLE），并具有训练和评估GPU模型的能力。对于模型评估，Anndotnet包含丰富的视觉和描述性能参数集，培训过程的历史记录以及导出/部署选项集。在基于经典代码的ML方法上使用AnnDotNet的优点更多地关注深度学习网络设计和培训过程，而不是专注于编码和调试。它是不熟悉受支持的编程语言的工程师的理想选择。该项目托管在github.com/bhrnjica/anndotnet上。
ANNdotNET is an open source project for deep learning written in C# with ability to create, train, evaluate and export deep learning models. The project consists of the Graphical User Interface module capable to visually prepare data, fine tune hyper-parameters, design network architecture, evaluate and test trained models. The ANNdotNET introduces the Visual Network Designer, (VND) for visually design almost any sequential deep learning network. Beside VND, ANNdotNET implements Machine Learning Engine, (MLE) based on CNTK - deep learning framework, with ability to train and evaluate models on GPU. For model evaluation ANNdotNET contains rich set of visual and descriptive performance parameters, history of the training process and set of export/deployment options. The advantage of using ANNdotNET over the classic code based ML approach is more focus on deep learning network design and training process instead of focusing on coding and debugging. It is ideal for engineers not familiar with supported programming languages. The project is hosted at github.com/bhrnjica/anndotnet.
