Multi-Head Attention

In the Transformer model,the Multi-head Attention Mechanism is indeed a key extension of the Self-Attention mechanism, with the core purpose of enhancing the model’s ability to capture different aspects of information in the input sequence by learning multiple sets of independent attention weights in parallel. Below is a detailed analysis from principles, implementation to advantages: … Read more