Transformer Encoder Explained with Visuals | Attention, Embedding, PE, Residual Connections

Welcome to Build AI with Sandeep! In this video, we will understand the complete Transformer Encoder architecture in a very simple and visual way — no complex math, no confusion. 🔹 What you will learn in this video: ✔ Word Embedding & Tokenization ✔ Positional Encoding (Why and How?) ✔ Scaled Dot-Product Attention (Simple explanation) ✔ Multi-Head Self Attention ✔ Add & Norm (Residual Connections + LayerNorm) ✔ Feed Forward Neural Network ✔ Final Encoder Output (Contextual Embedding)