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The issue here isn't whether there is something deep learning can't learn -- with enough data and engineering even nearest neighbor can learn everything. The p
by yzmtf2008 10y ago
The issue here isn't whether there is something deep learning can't learn -- with enough data and engineering even nearest neighbor can learn everything.
The problem is, would deep learning scale efficiently that it is feasible to learn the "universal algorithm" with DL?
- eva1984 10y agoI think neural nets are approved that with more than 2 hidden layers, it can approximate any functuons. Is there any literature for other algorithms as well?
- yzmtf2008 10y agoIt is true that neural networks can approximate any function. But what are feasible ways to construct such networks? Part of the point of having "deep" networks is that it's easier to train that way. Scalability does not only refer to the scale of the model itself, but also the difficulty in building such model.
- return0 10y agoWhat is that mythical "universal algorithm" ?
- deleted 10y ago[deleted]