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Pronunciation Guide
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technique uh developed by Jeff Hinton and colleagues. And rectified linear units are these nonlinearities that train much faster than sigmoids and
10H's. And this paper actually had a plot u that showed that the rectified linear units trained a bit faster than sigmoids. And that's intuitively because
of the vanishing gradient problems. And when you have very deep networks with sigmoids, um those gradients vanish as Hugo was talking about in last lecture.
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