CS231N

Stanford University

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Optimization Algorithms – SGD, Momentum and RMSprop Study Guide, Machine Learning Class Notes, Exam Preparation Material

Optimization Algorithms – SGD, Momentum and RMSprop Study Guide, Machine Learning Class Notes, Exam Preparation Material
Class notes • 3 pages • 2025

This document is a structured study guide on optimization algorithms used in machine learning, focusing on Standard SGD, SGD with Momentum, and RMSprop. It explains core concepts, mechanisms, common pitfalls, and exam-style questions using clear analogies and mathematical intuition. The material is suitable for coursework revision, conceptual understanding, and exam preparation in optimization and deep learning topics.

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CS231N

Stanford University

Optimization Algorithms – SGD, Momentum and RMSprop Study Guide, Machine Learning Class Notes, Exam Preparation Material

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