Phase 2 of 8: Enough ML to understand inference. Week 6 of 32, part 2 of 2. Part 1 built a one-neuron model that converts Celsius to Fahrenheit, made it predict, and scored how wrong it was with a single number, the loss. With random starting values the loss was 10352.21, because every prediction was nonsense. This post takes that one number and turns it into learning: the weight and bias climb from random noise to the true 1.8 and 32, and I watch each step happen on screen. Training ...