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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
License
MIT LicenseOther Useful Business Software
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