# Notes and Reading - Lecture #4

Lecture #4 looked at the basics of neural networks, and paved the way
for finding out how to do learning with them.

### Notes

Notes are available in two formats:

### Reading

The lecture covered material from Chapters 2 and 3 of the textbook,
from pages 29-32 and 37-39. If you hve the textbook, read through this.

If you have the textbook, you should go through this material in
conjunction with the notes, ensuring that at least you understand why
gradient descent works even if you don't understand the calculus
needed.

Worth reading is David Medler's Brief
history of neural network approaches.