An open-source toolkit for commercial-grade distributed deep learning, enabling the creation and combination of various neural network models.
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit designed for commercial-grade distributed deep learning. It represents neural networks as a series of computational steps within a directed graph, allowing users to easily implement and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) learning with automatic differentiation and supports parallelization across multiple GPUs and servers. It can be integrated as a library into Python, C#, or C++ programs, or used as a standalone machine-learning tool via its own model description language, BrainScript. Additionally, its model evaluation functionality is accessible from Java programs. CNTK supports the Open Neural Network Exchange (ONNX) format, facilitating model interoperability between frameworks like Caffe2, MXNet, and PyTorch.
Integrations: ONNX, Python, C#, C++, Java
Platforms: Windows, Linux
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