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.

• 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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