Tensor analysis for physicists

When we represent data for machine learning, this generally needs to be done numerically. Especially when referring specifically of neural network data representation, this is accomplished via a data repository known as the tensor. 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. Mathematically speaking, tensors are more than simply a data container, however. Aside from holding numeric data, tensors also include…