debau

Where does the cell culture media come from?

How is the culture media produced?

Please let this be this top comment anyways

For example, we are seeing now in neuroevolution a new class of algorithms called "quality diveristy algorithms" (http://eplex.cs.ucf.edu/papers/pugh_gecco15.pdf) that focus on collecting a wide diversity of high quality solutions (something very natural for evolution), more like a repertoire than a single solution

Do you then use boosting to aggregate the outputs of the individual networks to improve the prediction accuracy? Doesn't drop-out learning do something very similar within a single network?

With the rise of Deep Learning, for example Long Short Term Memory networks have been revived which have a very specific biologically-inspired topology. And they work great for time-series data. Do you know if NEAT creates or prefers certain topologies for certain tasks? If I feed it a lot of time-series data, will it come up with a LSTM-like topology?