Microsoft Cognitive Toolkit (CNTK)
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About
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit designed for commercial-grade distributed deep learning. It enables users to describe neural networks as a series of computational steps via a directed graph. CNTK supports various model types, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). It implements stochastic gradient descent learning with automatic differentiation and can parallelize processing across multiple GPUs and servers. CNTK can be used as a library in Python, C#, or C++ applications or as a standalone tool through its own model description language called BrainScript. It supports 64-bit Linux and Windows operating systems and offers model evaluation functionality from Java programs. CNTK also supports the Open Neural Network Exchange (ONNX) format for interoperability with other frameworks like Caffe2, MXNet, and PyTorch. The latest release is 2.7, however, it is important to note that CNTK is no longer actively developed.
Platform
Task
Features
• open-source
• gpu acceleration
• standalone and library usage options
• model interoperability via onnx
• distributed deep learning
• supports multiple neural network types
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