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✅ Topic 12: Gradient Descent Variants

Course: AI Math Advanced Topic: Gradient Descent Variants Section: 2 — Calculus for AI Level:…

Topic 1
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📘 Overview

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Vanilla GD = w = w - lr · ∇L —…

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SGD = Stochastic — random single…

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Mini-batch SGD = Small batches —…

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Momentum = Previous gradients ka…

Topic 2
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🏗️ Optimizer Architecture

💡 ` ┌──────────────────────────────────────────────────┐ │ GRADIENT DESCENT VARIANTS │ │ │…
Topic 3
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🧠 Python Implementation

🎯 `python """ Gradient Descent Variants — Vanilla GD, Momentum, NAG, Adagrad, RMSProp,…
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❓ Quiz — 5 MCQs

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A) w = w + lr*g

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B) w = w - lr · ∇f — gradient ke…

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C) w = w * g

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D) w = g / w

Topic 5
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🔗 Navigation

🔑 | Previous | Current | Next | |----------|---------|------| | 11 — Chain Rule And…
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✅ Topic 12: Gradient Descent Variants ka sabse sahi definition kya hai?

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