An Introduction to Tensors for Deep Learning – Harin Ramesh – Medium

Tensors are the primary data structure used in deep learning, inputs, outputs everything within a neural network are represented using Tensors. The Deep Learning Book says as follows. A tensor is a multidimensional array, ie an nd-array. A number is a zero-dimensional Tensor, a vector is a one-dimensional Tensor and an n-dimensional array is an n-dimensional Tensor. A Tensor is a generalization whereas number, vector etc are specific cases of a Tensor.