Exploring both AI and non AI approaches to create very accurate missiles.
Using ML for memory and counting by leveraging concepts from electronics.
Teaching ML to target inbound missiles for Missile Command.
Using ML to pilot a space craft such that it lands slow enough to avoid killing its virtual occupants.
Attempting to herd sheep using ML with discussion on sheep behaviour and algorithms.
Training an AI to provide a 7-segment display output based on sum of inputs.
I wrote this post not because it’s a difficult task, but one that I wanted to explain properly. Whilst experimenting…
A continual visual representation as the classifier learns.
Watching linear regression in action.
Can we train "perceptrons" to compute Math.Sin() reasonably accurately?