Question

How many dimensions will a derivative of a 3-d tensor by a 4-d tensor have?

Answer 1

A tensor is generally known as a generalization of vectors and matrices to potentially higher dimensions and tensor flow represents tensors as n-dimensional arrays of base datatypes.

a 3-d tensor can generally have six dimensions

while a 4-d tensor can have 16 dimensions.

while derivative of 3-d by 4-d tensor can have 12 dimensions

Answer 2

The tensors are applied in a very broad range of physics and mathematics.

This should identified with covariant values and taking place in vector and identify notifications for scalar objectives and manifold solutions takes place.

It comes under algebraic manipulations and index could be taken with 3d tensors into 4 tensors.

It is supposed to identify with 3 nodes which could able to neural network and tensor can be covariant solutions.