I think it's a move in the right direction - but I've never been a fan of convolutional networks. There's significant potential value in networks that can rege

I think it's a move in the right direction - but I've never been a fan of convolutional networks. There's significant potential value in networks that can regenerate their input after processing. It can be used to detect confusion - if a network can compress + decompress a piece of input, any significant differences can be detected and you can tell that there's something that the network does not understand. This sort of validation might be useful, if you don't want your self driving car to confidently attempt to pass under a trailer that it hasn't noticed - which tends to kill the driver.