02 · Thinking in N Dimensions

Part II of Tensors for Machine Learning. The goal is simple:

Do not read a tensor as a list of numbers. Read every axis as a question: “What does this axis count?”

Two tensors can have identical shapes and mean nothing like each other. Chapter 2’s notation has no concept of “order matters between elements” — that idea is genuinely new here.

Study here, then run the real thing: notebook 02 on Colab · the handbook · workshop home

Built from the workshop’s own material by Ravi Kalia and Sebastian Laverde Chunza, CC BY 4.0.