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Life.Net - An Artificial Neural Network Simulation

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As a side project, I have been learning about neural networks. I decided to create this simulation to see if a simple bug could learn how to find food and survive.
For now, each "bug" has 3 input neurons, 3 hidden neurons and 2 output neurons (left / right). I made all the network parts visible so you can see the neurons activate and the network connection strength.
I am hoping to create an entire biosphere with these algorithms as time goes on, but that is a pretty tall order.
The graphics are all OpenGL.
I was inspired by Paul Oliver's work on his "Guppies" program. Please check out his channel. He has some good stuff over there. WAY more advanced than my NNets! (for now, mwah hah hah!)
For now, each "bug" has 3 input neurons, 3 hidden neurons and 2 output neurons (left / right). I made all the network parts visible so you can see the neurons activate and the network connection strength.
I am hoping to create an entire biosphere with these algorithms as time goes on, but that is a pretty tall order.
The graphics are all OpenGL.
I was inspired by Paul Oliver's work on his "Guppies" program. Please check out his channel. He has some good stuff over there. WAY more advanced than my NNets! (for now, mwah hah hah!)
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