This lecture is dedicated for variations of gradient descent algorithms. We talk about Stochastic & mini-batch Gradient Descent along with Simulated Annealing. Python implementations are done on Jupyter.

⏲Outline⏲
00:00​ Introduction
00:26​ Simulated Annealing
02:42​ Stochastic Gradient Descent with variable step size
10:12​ Mini-batch Gradient Descent

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#machine-learning #tensorflow #scikit-learn