Putting the Encoder and Decoder Together

Explore how transformer architectures integrate encoder and decoder modules to process input and generate output sequences. Understand the training process involving cross-entropy loss minimization, Adam optimization, and dropout for regularization. This lesson helps you grasp the mechanics behind sequence-to-sequence learning in NLP.