Make Stochastic Gradient Descent Fast Again (Ep. 113)

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.

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References

• More descent, less gradient
• Taylor Series

 

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