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
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