CNTK describes neural networks as a series of computational steps via a digraph which are a set of nodes or vertices that are connected with the edges directed between different vertexes.

Create and combine models such as:
-Feed-Forward DNNs
-Convolutional neural networks
-Recurrent neural networks

Features

  • Stochastic gradient descent learning
  • Automatic differentiation
  • Parallelization

Project Samples

Play Video R-CNN Model

Project Activity

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Categories

Machine Learning, Deep Learning Frameworks

License

MIT License

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Additional Project Details

Operating Systems

Linux, Windows

Registered

2019-07-23
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