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Well, I did refer to it as an analogy. However, I do think there are probably several useful analogies between machine learning and neuroscience. For example:
by SubiculumCode 8y ago
Well, I did refer to it as an analogy.
However, I do think there are probably several useful analogies between machine learning and neuroscience.
For example: Sparse Encoding
http://www.mit.edu/~9.54/fall14/Classes/class07/Palm.pdf http://www.mit.edu/~9.54/fall14/Classes/class07/Palm.pdf
- taeric 8y agoOh, it is definitely an analogy. I should have stressed more that I don't think you are wrong. Not just that I can't say you are wrong. I really don't think you are. My concern is that I'm just not sure how far that analogy helps. Unlike old analytic models, we don't have much in the way of analyzing these new models. We can only talk towards how well they perform on fixed data sets. There are some interesting results in transfer learning. But, I suspect most of the truly amazing results have been essentially cherry picked in the process. (That is, blind pigs and troughs, and all of that. I hope I'm wrong. I really do.