Optimization In Machine Learning - First Order Methods - Gradient Descent

Optimization in Machine Learning - First order methods - Gradient descent

Statistical Learning and Data Science

Optimization in Machine Learning - First order methods - Deep Dive: Gradient descent and optimality

Statistical Learning and Data Science

Intro to Gradient Descent || Optimizing High-Dimensional Equations

Dr. Trefor Bazett

Gradient Descent, Step-by-Step

StatQuest with Josh Starmer

Optimization in Machine Learning - First order methods - SGD

Statistical Learning and Data Science

Optimization in Machine Learning - First order methods - SGD Further Details

Statistical Learning and Data Science

Optimization in Machine Learning - First order methods - Step size and optimality

Statistical Learning and Data Science

Optimization in Machine Learning - First order methods - ADAM and friends

Statistical Learning and Data Science

Let this method tune hyper-parameters for you!

Optimization: First-order Methods Part 1

Simons Institute

First-Order Optimization (Training) Algorithms in Deep Learning

Colins Conference

Optimization in Machine Learning - First order methods - GD with Momentum

Statistical Learning and Data Science

Visually Explained: Newton's Method in Optimization

Visually Explained

Optimization in Machine Learning - First order methods - GD - Mulitmodality and Saddle points

Statistical Learning and Data Science

Gradient descent simple explanation|gradient descent machine learning|gradient descent algorithm

Unfold Data Science

Gradient Descent Explained

Accelerated stochastic gradient ..first-order optimization - Zeyuan Allen-Zhu

Institute for Advanced Study

Optimization in Machine Learning - First order methods - Weaknesses of GD – Curvature

Statistical Learning and Data Science

Optimization: First-order Methods Part 2

Simons Institute

Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)