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Microsoft Cognitive Toolkit (CNTK) is commercial-grade distributed DL with largescale datasets from Microsoft Research [CNTK]. It implements efficient DNNs training for speech, image, handwriting and text data.
Its network is specified as a symbolic graph of vector operations, such as matrix add/multiply or convolution with building blocks (operations). CNTK supports FFNN, CNN, RNN architectures, it is running on both 64-bit Linux and Windows operating systems using Python, C#, C++ and BrainScript API. CNTK implements stochastic gradient descent (SGD) learning with automatic differentiation and parallelization across multiple GPUs and servers.
Strong points
- Open source, fast evolving, well-supported by a strong industrial company (Microsoft).
- Higher performance in comparison with Theano and Tensorflow when running on multiple machines.
- Supports the Open Neural Network Exchange (ONNX) format, which will allow easy moving between CNTK, Caffe2, PyTorch, MXNet and other DL tools. ONNX is codeveloped by Microsoft and Facebook.
Weak points
- Limited capability on mobile devices.
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