26K views · 240 reactions | Optimization techniques in the Machine Learning module. covered the fundamentals of - - SGD variants - Convex vs Non-Convex - Momentum & Nesterov acc. - Adam, RMSprop - Loss landscapes - Regularization - Batch Norm - Newton's method & Lagrange -/tensortonic.com/ml-math | Md Ismail Sojal | Facebook
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