Im just makign this note for linking purposes, and that needs composition. we all know what a neural network is!
- origionally a biologically inspired way of learning, however was not relevant until Backward Propagation was invented for training.
- series of nodes and connections organized into
- we call the nodes neurons or Perceptrons, with their connections being weights.
ultimately after being trained, these systems learn patterns in a way akin
these notes suckk… im feeling lazy dont wanna write about something basic..