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Skill Topic ยท Cinematic

๐Ÿง  Deep Learning Introduction โ€” Neural Networks Ka Asli Power

Aliens School โ€” AI Series #56 Hinglish mein Deep Learning samjho! ๐Ÿš€

Overview
๐ŸŒŸ

๐Ÿง  Deep Learning Introduction โ€” Neural Networks Ka Asli Power โ€” Quick Facts

๐Ÿ“Œ

Feature: Traditional ML

๐ŸŽฏ

Data needed: Kam data se kaam chale

โšก

Feature extraction: Manual (human decides)

๐Ÿ”‘

Layers: 1-2 layers

Topic 1
๐Ÿง 

๐Ÿ’ก Deep Learning Kya Hai?

๐Ÿง  ` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ Machine Learning โŠ‚ AI โ”‚ โ”‚ Deepโ€ฆ
Topic 2
โœจ

๐Ÿ”„ ML vs Deep Learning

๐Ÿ”— | Feature | Traditional ML | Deep Learning | |---------|---------------|---------------|โ€ฆ
Topic 3
โšก

๐Ÿ—๏ธ Deep Neural Network Architecture

โšก ` INPUT HIDDEN LAYERS (Deep!) OUTPUT LAYER Layer1 Layer2 Layer3 LAYER โ—‹ โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ โ—โ€ฆ
Topic 4
๐Ÿ“Š

๐Ÿ“Š Deep Learning Types

๐Ÿ“Š | Type | Full Name | Best For | |------|-----------|----------| | CNN | Convolutionalโ€ฆ
Topic 5
๐Ÿ“ฅ ๐Ÿ“ฅ ๐Ÿง  ๐Ÿ”ฌ ๐Ÿ’ก ๐ŸŽฏ

๐ŸŒ Real-World Applications

๐Ÿ’ก ` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ DEEP LEARNING EVERYWHERE: โ”‚ โ”‚ โ”‚ โ”‚ ๐Ÿ“ทโ€ฆ
Topic 6
๐ŸŽฏ ๐Ÿ“Š ๐Ÿ”ฌ

โšก Why Deep Learning Works Now

๐ŸŽฏ ` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ 3 Pillars of Deep Learning Success:โ€ฆ
Topic 7
๐Ÿ”’

๐Ÿ”ง Deep Learning Frameworks

๐Ÿ”ฎ | Framework | Company | Language | Best For |โ€ฆ
Topic 8
๐ŸŒ

๐Ÿ’ป Simple Deep Network (JavaScript)

๐ŸŒ `javascript // Brain.js se Deep Network const brain = require('brain.js'); const net =โ€ฆ
Topic 9
๐Ÿง 

โ“ Quiz

๐Ÿ’ก

a) Zyada data

๐Ÿ”‘

b) Zyada hidden layers โœ…

โšก

c) Zyada speed

๐ŸŽฏ

a) RNN

Comparison
โœจ

๐Ÿ”„ ML vs Deep Learning

โš–๏ธ

Data needed: Kam data se kaam chale

โš–๏ธ

Feature extraction: Manual (humanโ€ฆ

โš–๏ธ

Layers: 1-2 layers

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 1

๐Ÿง  Deep Learning Introduction โ€” Neural Networks Ka Asli Power ka sabse sahi definition kya hai?

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 2

๐Ÿง  Deep Learning Introduction โ€” Neural Networks Ka Asli Power ka 'Data needed' kya hai?

Complete! ๐ŸŽ‰
COMPLETE

๐Ÿง  Deep Learning Introduction โ€” Neural Networks Ka Asli Power Complete!

Aliens School ยท HIEN ยท Cinematic Knowledge

โœ…

๐Ÿง  Deep Learning Introduction โ€” Neural Networks Ka Asli Power Complete

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