Multi-Head Attention | Python GUI
Multi-head Attention is a module for attention mechanisms which runs through an attention mechanism several times in parallel. The independent attention outputs are then concatenated and linearly transformed into the expected dimension. It is a mechanism that allows the model to focus on different parts of the input sequence when processing information, making it highly effective for capturing complex relationships and dependencies within the data. If you want to explore more about Multi-Head Attention, take a look at this blog.