Crash course on tensors with application to neural networks

Crash course on tensors (what they are, what cross norms are, basic generalities about nuclear norm/operator and rank), followed by an application of this to the law of robustness conjecture for neural networks (see arxiv.org/abs/2009.14444 and • A law of robustness fo... ).
Typo: at minute 7 (and afterwards) it is said that the p^{th} tensor power of R^d is identified with R^{dp}, but of course it should be R^{d^p}.