A tensor is a container which can house data in N #dimensions. Often and erroneously used interchangeably with the matrix (which is specifically a 2-dimensional #tensor), tensors are generalizations of #matrices to N-dimensional space
Tensor notation is much like matrix notation
Tensor notation is much like matrix notation
Tensors are more than simply a data container, however. Aside from holding numeric #data, tensors also include descriptions of the valid linear #transformations between tensors. Examples - include the cross product and the dot product.
Blog Link - kdnuggets.com/2018/05/wtf-te…
Blog Link - kdnuggets.com/2018/05/wtf-te…
Tensor are the data structure used by #machinelearning system
A #tensor is a container for numerical #data It is the way we store the information that we’ll use within our system
Three primary attributes define a tensor
Rank
Shape
Data type
Blog Link - medium.datadriveninvestor.com/what-is-the-te…
A #tensor is a container for numerical #data It is the way we store the information that we’ll use within our system
Three primary attributes define a tensor
Rank
Shape
Data type
Blog Link - medium.datadriveninvestor.com/what-is-the-te…
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