From Attention Mechanism to Encoder-Decoder: Understanding the Transformer Model Through Diagrams Transformer Neural Network Architecture Diagram — A Visual Guide for Engineers From Attention Mechanism to Encoder-Decoder: Understanding the Transformer Model Through Diagrams When someone says "Transformer" in deep learning, they don't mean the electronic component — but the architecture diagram is just as important as a circuit schematic. If you've ever tried to understand the Transformer neural network architecture , you know the original paper's diagram can feel overwhelming at first. This guide breaks it down visually, piece by piece. Why the Transformer Architecture Matters Before Transformers, RNNs and LSTMs processed words sequentially — slow and prone to forgetting long-range context. The Transformer introduced parallel processing and self‑attention , which became the backbone of: BERT GPT series Almost every modern LLM And the best way to understand it?…