Encoder Architecture in Transformers | Step by Step Guide
We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide.
We look at the entire design of Encoder architecture in Transformers and why its implemented that way.
What You’ll Learn:
🔹 Word Embeddings & Their Limitations – Why static embeddings fail and how we make them context-aware
🔹 Self-Attention Explained – How words influence each other dynamically
🔹 Multi-Headed Attention – Why multiple attention heads are necessary for understanding complex relationships
🔹 Positional Encodin…
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Chapters (9)
Intro
0:42
Input Embeddings
2:29
Self Attention
3:45
Multi-headed Attention
7:49
Positional Encodings
10:07
Add & Norm Layer
13:15
Feed Forward Network
19:47
Stacking Encoders
22:28
Outro
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