Skill Topic · Cinematic

✅ Topic 51: Variational Inference

Course: AI Math Advanced Topic: Variational Inference Section: 6 — Information Theory Level:…

Overview

✅ Topic 51: Variational Inference — Quick Facts

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p(z: x))** = Minimize to find best q

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- Amortized VI = Encoder network learns q_φ(z: x)

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- log p(x) = ELBO + KL(q: p) ≥ ELBO

Topic 1

📘 Overview

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ELBO = E_q[log p(x,z)] - E_q[log…

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KL(q(z)||p(z|x)) = Minimize to…

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Mean-Field VI = Factorized q(z) =…

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Reparameterization = z = μ + σ·ε,…

Topic 2

🏗️ Variational Inference Architecture

💡 ` ┌──────────────────────────────────────────────────┐ │ VARIATIONAL INFERENCE ENGINE │ │…

Topic 3

🧠 Python Implementation

🎯 `python """ Variational Inference — ELBO, Mean-Field VI, Reparameterization, CAVI,…

Topic 4

❓ Quiz — 5 MCQs

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A) Maximum likelihood

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B) log p(x) ka lower bound — ELBO…

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C) Prior probability

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D) Entropy

Topic 5

🔗 Navigation

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Quick Quiz

Quiz — Question 1

✅ Topic 51: Variational Inference ka sabse sahi definition kya hai?