Evolving Simple Organisms (nathanrooy.github.io)

Correct me if I’m wrong, but doesn’t inheriting by averaging the parents’ matrices only work in single layer perceptrons?

Anyway, nice exercise! :)

This is neat, if you want to extend it there's a version of genetic algorithm for neural networks that tries out different connection settings and hidden layer sizes -- it's called NEAT.

Cool, I think it's Matt Stonie on the right in the competitive eating GIF.

Reminds me of an old Javascript experiment called "Creatures Avoiding Planks" also based on neuroevolution:

Link: http://otoro.net/planks/ Past Discussion: https://news.ycombinator.com/item?id=10711951

The article shows a useful neural network model for changing direction depending on an input. However, I'm not sure what this has to do with deep learning as there is only one hidden layer and even that one is only fully connected to output. Edit: also, why evolve weights when you can backpropagate?

> ef evolve

Missing 'd'

This tutorial is almost the same as this ~10 years old tutorial, only a little bit modernised: http://www.ai-junkie.com/ann/evolved/nnt1.html