The "deep learning" revolution consists in just one thing --the ability to learn multi-layered representations jointly rather than greedily.
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And deep learning changed everything because it offered a computationally practical way to learn all layers at the same time.
At last --if you believe that SGD via backprop of a loss function is the only way to achieve this, or the best way, you are sorely mistaken.
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@fchollet we have a pretty good example that it's not the case since our brains are pretty good at learning and they don't backpropThanks. Twitter will use this to make your timeline better. UndoUndo
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@fchollet What are some better ideas?Thanks. Twitter will use this to make your timeline better. UndoUndo
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