Make Stochastic Gradient Descent Fast Again (Ep. 113)

Data Science at Home - A podcast by Francesco Gadaleta

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There is definitely room for improvement in the family of algorithms of stochastic gradient descent. In this episode I explain a relatively simple method that has shown to improve on the Adam optimizer. But, watch out! This approach does not generalize well. Join our Discord channel and chat with us.   References More descent, less gradient Taylor Series  

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