Chapter 1
Building a brain from scratch
Chapter 2
The art of practice and error
Chapter 3
The magic of human language
Chapter 4
Painting with pixels
Ch 2 · The art of practice and error
007skaty Overfitting
When networks learn their training sets too well, They fail to grasp what brand-new datasets tell.
007skaty Training begins with random weights and terrible predictions, but a loss function calculates exactly how far off the system is
007skaty Gradient descent acts like a blindfolded hiker searching for the lowest valley.
BETA
007skaty Trace the blame backward through the network to learn how AI corrects its mistakes.
Fun Fact
AI practice runs: Training a single large AI model can require millions of math calculations per second for weeks.
Quiz
Which 19th-century French mathematician first formalized the method of gradient descent?
Quiz
What is the term for an AI memorizing training data instead of learning general patterns?