CNTK - Microsoft Cognitive Toolkit
A unified deep learning toolkit for describing neural networks as computational graphs, supporting feed-forward DNNs, CNNs, and RNNs/LSTMs.
What is CNTK - Microsoft Cognitive Toolkit?
The Microsoft Cognitive Toolkit (CNTK) is an open-source deep learning framework that models neural networks as directed computational graphs. It enables efficient training and evaluation of complex models, with support for automatic differentiation and parallelization across multiple GPUs and servers.
Researchers and engineers working on large-scale deep learning projects, particularly those requiring efficient multi-GPU and multi-server training for models like DNNs, CNNs, and RNNs/LSTMs.
Developers choose CNTK for its high-performance scalability across distributed systems, unified graph-based model description, and strong ONNX interoperability for framework-agnostic model exchange.
Overview
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Use Cases
Best For
- Training deep neural networks at scale across multiple GPUs and servers
- Implementing and combining complex model types like convolutional nets (CNNs) and recurrent networks (RNNs/LSTMs)
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