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For questions related to the concept of neural (network) architecture search (NAS), which is a way of automating the design (that is, the hyper-parameters) of a neural network. NAS is related to neuroevolution, given that neuroevolution can be used to perform NAS, but neuroevolution is not the only way of performing NAS. For example, reinforcement learning can also be used to perform NAS.
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Are there metrics for image complexity for informing neural network design?
In the realm of computer vision and machine learning, "task" complexity is more important than image complexity. This is one of the major reasons that research has not formally described any specific …