Skill Topic · Cinematic

⚙️ Optimizers — Weights Update Kaise Karein

Deep Learning Series #07 — SGD, Adam, RMSprop, Learning Rate Schedules! Optimizer = driver jo model…

Overview

⚙️ Optimizers — Weights Update Kaise Karein — Quick Facts

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Optimizer: Formula

🎯

SGD: W -= lr × g

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SGD+Momentum: v = βv + g; W -= lr×v

🔑

Adagrad: W -= lr/√(Σg²) × g

Topic 1

💡 Optimizer Kya Hai?

🤖 ` ┌──────────────────────────────────────────────────┐ │ Loss Landscape = Pahaadon jaise…

Topic 2

📊 Optimizer Comparison

Topic 3

🔍 Each Optimizer Explained

💡 1. SGD (Stochastic Gradient Descent) ` W = W - lr × ∂L/∂W Problem: Slow, zigzag path,…

Topic 4

📈 Learning Rate Schedules

⚡ ` ┌─────────────────────────────────────────────────┐ │ LEARNING RATE SCHEDULES │ │ │ │…

Topic 5

💻 Complete Code

🎯 `python ============================================= Optimizers — Complete…

Topic 6

❓ Quiz

💡

a) Sabse purana hai

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b) Momentum (past gradients…

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c) Sabse fast hai

🎯

a) Fast training

Comparison

📊 Optimizer Comparison

⚖️

SGD: W -= lr × g

⚖️

SGD+Momentum: v = βv + g; W -= lr×v

⚖️

Adagrad: W -= lr/√(Σg²) × g

Quick Quiz

Quiz — Question 1

⚙️ Optimizers — Weights Update Kaise Karein ka sabse sahi definition kya hai?

Quick Quiz

Quiz — Question 2

⚙️ Optimizers — Weights Update Kaise Karein ka 'SGD' kya hai?

Complete! 🎉

⚙️ Optimizers — Weights Update Kaise Karein Complete!

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