Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
as: where Yi and Zi denote the output features of LPU and LMHSA module for the i-th block, respectively. LN denotes the layer normalization. 2. CMT: Complexity, Scaling, and Variants 2.1. Model Complexity The computational complexity (FLOPs) of a Transformer can be calculated as: where r is the