Why Transformer Decoder Uses Linear + Softmax? (No Confusion Anymore)

In this video, I explain the Transformer Decoder Linear Layer and Softmax layer step by step using a simple example so you can clearly understand how a transformer generates the next word. We cover decoder output vectors, logits, why the same linear layer is used at all positions, how softmax converts raw scores into probabilities, and the difference between training and inference in transformers. This video is perfect if you are confused about linear vs softmax, what logits really are, why sequence length does not matter, and how decoder outputs map to vocabulary words. If you are learning tr…