Episode 58: There is physics in deep learning!

from Data Science at Home · host Francesco Gadaleta <frag>

There is a connection between gradient descent based optimizers and the dynamics of damped harmonic oscillators. What does that mean? We now have a better theory for optimization algorithms.In this episode I explain how all this works.All the formulas I mention in the episode can be found in the post The physics of optimization algorithmsEnjoy the show. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

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This episode was published on April 30, 2019.

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