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Jon Krohn

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Jon Krohn

Deep Learning Study Group Session #4: Proofs of Key Neural Net Properties →

Added on October 20, 2016 by Jon Krohn.

In our fourth iteration, we discussed key neural net properties, namely that they can compute any function and that deep ones tend to have unstable (typically, vanishing) gradients. 

← Newer: “Fundamentals of Deep Learning” talk to Data Science + FinTech Meetup Older: Three Themes of Seth Moulton’s Inaugural Term, Visualized with Data →
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