Topology generation requires the evaluation of many models - For non-trivial datasets/model sizes the evaluation of a model can be hours, days or weeks, even on

Topology generation requires the evaluation of many models - For non-trivial datasets/model sizes the evaluation of a model can be hours, days or weeks, even on current GPUs. There's much better tooling in place, and hardware in place( modern GPUs) now to distribute the evaluation over a cluster of GPU machines, so it's becoming practical to push the boundaries further edit: I also forgot to mention, older methods often required the manual specification of heuristics for mutation and crossover rules, this is no longer the case, because the machines can be trained with objective functions to prevent overfitting, optimize execution speed or memory usage and can use techniques like dropout, skip connections, layer / node hyperparameters and so on to direct the topology search