Machine Learning Gets One Step Closer to Human Learning

Machine learning is great and it does some amazing things, but even though we refer to the techniques as “neural networks” the way these systems learn is different from the way people learn. The biggest difference is that these algorithms/systems have insatiable appetites for clean data. You have to present one of these systems with huge numbers of pictures of kittens before it has any hope of labeling kittens reliably. As opposed to a child, who can be shown three pictures of kittens, and who at that point would probably perform as well as the exhaustively trained neural net. In all fairness, if we examine what these (deep) neural nets are learning we can see that the contest is not really fair. The neural net is expected to first learn…


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