Deep neural networks topic
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
dfdx
Deep learning in Rust, with shape checked tensors and neural networks
PaddleX
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
NiftyNet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
onnx
Open standard for machine learning interoperability
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
tfjs-core
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
AI_Tutorial
精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.