Hands-On Mathematics for Deep Learning
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Matrix transpose

Let's take an  matrix A. If the matrix's transpose is B, then the dimensions of B are , such that: .  Here is the matrix A:

Then, the matrix B is as given:

.

Essentially, we can think of this as writing the columns of A as the rows of the transposed matrix, B.

We usually write the transpose of A as AT.

A symmetric matrix is a special kind of matrix. It is an n×n matrix that, when transposed, is exactly the same as before we transposed it.

The following are the properties of inverses and transposes:

If A is an invertible matrix, then so is AT, and so (A-1)T = (AT)-1 = A-T.