Building a Transformer Model for Language Translation - MachineLearningMastery.com
The Transformer architecture, introduced in 2017, revolutionized sequence-to-sequence tasks like language translation by eliminating the need for recurrent neural networks. Instead, it relies on self-attention mechanisms to process input sequences. In this post, you'll learn how to build a Transformer model from scratch. In particular, you will understand: How self-attention processes input sequences How transformer encoder and decoder work How…
