Law of diminishing returns: you computer may be 10x better spec'ed than in 2007, but you are not getting 10x more done with it...
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The best game you can distribute on a 10GB drive is not 100x more fun than the best game you can put on a 100MB drive...
Our convnets will not achieve 100x more on hardware that is 100x faster. Need conceptual breakthroughs. Hardware can enable them --sometimes
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Per the theory of deep learning we were chatting about yesterday.
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Are faster methods to train and obtain convergence using existing architectures a 'conceptual breakthrough' or do we need. Ew architectures?
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Algorithms seem to increase in efficiency at about the same rate as Moore's law
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Our convnets only exist b/c hardware improved by orders of magnitude, and convnets are probably orders of magnitude better at select probs
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Faster hardware allows many more people to experiment in new ways to make the new necessary breakthroughs.
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