Media Summary: Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video. Gradient Descent (unconstrained optima of differentiable function) In this video we start looking at non-smooth optimization. We take a look at the
First Order Methods Subgradient Projected - Detailed Analysis & Overview
Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video. Gradient Descent (unconstrained optima of differentiable function) In this video we start looking at non-smooth optimization. We take a look at the Note: sound cuts out for last 20 minutes or so, sorry! Okay so these are kind of two classic results on the Neither the lasso nor the SVM objective function is differentiable, and we had to do some work for each to optimize with ...
This video derives the oracle complexity of the I recommend you watch in 1.25x or 1.5x to not waste time. So we can define subgrading descent like before we just replace the gradient by In this video, we look at the various properties of