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What is a tensor in deep learning? |
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Answer» A tensor is a multidimensional array that represents a generalization of vectors and matrices. It is one of the KEY data structures used in DEEP learning. Tensors are represented as n-dimensional arrays of base data types. The data TYPE of each element in the Tensor is the same, and the data type is always known. It's possible that only a portion of the shape (that is, the number of dimensions and the SIZE of each dimension) is known. Most operations yield fully-known tensors if their inputs are likewise fully known, however, in other circumstances, the shape of a tensor can only be determined at graph execution TIME. |
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