Machine Translation, Transforming Vectors, Frobenius Norm, Gradient.
Then use numpy dot some, then numpy dot square roots to get four. Try it out for yourself. Know that in practice it’s easier to minimize the square of the frobenius norm. In other words, we can cancel out the square roots by taking the square. I’ll explain in a moment why it’s easier to work with