[motters]

I've also seen that talk. In many cases I think the advantages which may be had from deep learning are likely to be marginal - a few percent improvement over the next best algorithm. Multi-layer neural nets already existed for a couple of decades, and deep learning is really just a refinement on that, making the training process faster and more robust to overfitting.

[bluishgreen]

Do you know of any other system that gets ~14% error rate on the IMAGENET dataset? The next best system as recent as 2012 was doing ~26% error. That is a pretty big gap, especially considering IMAGENET is a million image data set. (btw did not see the talk)

[visarga]

> especially considering IMAGENET is a million image data set

... and that human error rate is also > 0. Sometimes machine learning bests the humans.