Microsoft Cognitive Toolkit
CNTK, though no longer actively developed, is an open-source toolkit designed for commercial-level distributed deep learning, supporting various model architectures and parallelization across multiple servers and GPUs, while also offering integration into various programming languages and support for the ONNX format.
Description for Microsoft Cognitive Toolkit
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit designed for distributed deep learning at a commercial level, though it is no longer actively developed. CNTK 2.7 marked its last confidential release.
Features of Microsoft Cognitive Toolkit
- Graph-Based Description: Represents neural networks as a sequence of computational operations through a directed graph.
- Support for Prominent Model Architectures: Enables the implementation of various model architectures like convolutional neural networks (CNNs), feed-forward DNNs, and recurrent neural networks (RNNs/LSTMs).
- Parallelization and Automatic Differentiation: Parallelizes and automatically differentiates stochastic gradient descent (SGD) and error backpropagation learning across multiple servers and GPUs.
- Integration and Independence: Can be integrated into Python, C#, or C++ programs via its library or operated independently using its model description language (BrainScript).
- Operating System Support: Supported on 64-bit Linux and 64-bit Windows operating systems.
- ONNX Format Support: One of the first deep-learning toolkits to support the Open Neural Network Exchange (ONNX) format, enabling framework interoperability and shared optimization through an open-source shared model representation.
Pricing for Microsoft Cognitive Toolkit
Use Cases for Microsoft Cognitive Toolkit
- CNTK is a library that is compatible with Python, C#, and C++.
- Through its model description language, BrainScript, it can also function as an independent machine-learning instrument.
- The CNTK model evaluation functionality is also accessible from Java programs.
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