Multi-Heads of Mixed Attention

Understanding MHMA: The Multi-Head of Mixed Attention The multi-head of mixed attention (MHMA) is a powerful algorithm that combines both self- and cross-attentions to encourage high-level learning of interactions between entities captured in various attention features. In simpler terms, it is a machine learning model that helps computers understand the relationships between different features of different domains. This is especially useful in tasks involving relationship modeling, such as huma