Introducing Tensor for multi-dimensional Machine Learning and AI data

added by DotNetKicks
11/15/2017 10:19:52 PM

2 Kicks, 388 Views

Tensor is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place. Tensor is designed to provide the following characteristics.


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