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joshlk | 1 year ago

Tensors used in deep learning are not the same as the definition used by Physicists - blame the DL community for this :). So DL tensors are just N-dimensional arrays of data, and there is no concept of covariance and contravariance of the dimensions. You could think of DL tensors as Cartesian tensors and they don't need to conform to the same transformation laws that Physics tensors do.

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