Matrix Operations

Summary

Matrix multiplication, transposition and inversion — the operations that power linear regression, neural network layers, and embedding lookups.

• 1Practice matrix multiplication by hand on small matrices before trusting NumPy.
• 2Learn why matrix multiplication isn't commutative and what that implies for neural network layers.
• 3Understand matrix shapes carefully — shape mismatches are the most common bug in ML code.