Transformer Encoder Decoder Architecture Explained Masked Attention Cross Attention

In this video we continue learning the Transformer Architecture from the famous research paper “Attention Is All You Need” (2017). This lecture explains the complete Encoder–Decoder Transformer pipeline including Multi-Head Attention, Add & Norm, Feed Forward layers, Masked Attention, Cross Attention and Autoregressive decoding. GitHub Repository https://github.com/switch2ai You can download all code, scripts and documents from the repository. Evolution of Sequence Models 2014 – Encoder Decoder Architecture (Google) Models could convert one sequence to another such as machine translation. …