> Look I know ANNs and NNs are quite different, but the experimental evidence with NNs shows that what I described above, a mix of feature detectors that just a

> Look I know ANNs and NNs are quite different, but the experimental evidence with NNs shows that what I described above, a mix of feature detectors that just approximate the structures of the data to deeper and deeper detail and are just all somehow applied to see what works, is much more plausible than some constructed algorithm a neuroscientist or philosopher would write down. Precisely. Deep CNNs were directly inspired by studying the structure and behavior of visual cortical tissue. The algorithm is just recursive feature detection, where the visual elements are transformed into abstractions, based on both sensory input and projected expectations. If anything, that's the real exciting part of the visual system, why do illusions occur, how does expectation affect perception, etc. Not "how do line drawings evoke similar concepts to images". That's just bypassing the first few layers of filters. Basic ass tiny MNIST nets can do this.