Stochastic Gradient Descent (SGD) — Clearly Explained By Aishwarya V Srinivasan

 Learning Parameters: Stochastic & Mini-Batch Gradient Descent By Akshay L Chandra

 Momentum - A powerful Stochastic Gradient Descent By Casper Hansen

 Gradient Descent With AdaGrad From Scratch by Jason Brownlee

 Learning Parameters: AdaGrad, RMSProp, and Adam By Akshay L Chandra

 Stochastic vs Batch Gradient Descent By Divakar Kapil

 Stochastic Gradient Descent with momentum By Vitaly Bushaev

 Learning Parameters : Gradient Descent By Akshay L Chandra

 Learning Parameters: Momentum-Based & Nesterov Accelerated Gradient Descent By Akshay L Chandra

 The AdaDelta algorithm

 Guide to Gradient Descent and Its Variants with Python Implementation By Dishaa Agarwal

 10 Gradient Descent Optimisation Algorithms + Cheat Sheet

 Deep Learning Optimizers - SGD with momentum, Adagrad, Adadelta, Adam optimizer By Gunand Mayanglambam .

 Gradient Descent Optimization With AdaMax From Scratch By Jason Brownlee

 Nesterov’s accelerated gradient (NAG)

 Nesterov Accelerated Gradient and Momentum By James Melville

 Gradient Descent With Root Mean Squared Propagation (RMSProp) from Scratch By Jason Brownlee

 Nesterov Accelerated Gradient and Momentum By James Melville

 Nesterov Accelerated Gradient and Momentum By James Melville

 Nesterov Accelerated Gradient and Momentum By James Melville

 Nesterov Accelerated Gradient and Momentum By James Melville

 Nesterov Accelerated Gradient and Momentum By James Melville

 Nesterov Accelerated Gradient and Momentum By James Melville

 Nesterov Accelerated Gradient and Momentum By James Melville