Tensors are the primary data structure that TensorFlow uses to operate on the computational graph. We can declare these tensors as variables and/or feed them in as placeholders. To do this, first, we must learn how to create tensors.
A tensor is a mathematical term that refers to generalized vectors or matrices. If vectors are one-dimensional and matrices are two-dimensional, a tensor is n-dimensional (where n could be 1, 2, or even larger).
