Interpreting math expressions is one of those things that seems simple until you get into it. The first problem is correctly lexing the input — a term that means splitting into tokens.

Take advantage of caching and the lru_cache decorator to relieve your Python functions from repetitive heavy lifting.

This article focuses on L1 regularization, but I'll discuss L2 regularization briefly. You can think of a neural network as a complex math function that makes predictions. Training is the process of ...