Papers Explained 34: TransformerXL
The Transformer XL architecture is an extension of the original Transformer model for sequence-to-sequence tasks such as machine translation. The main difference between the two models is that Transformer XL is designed to handle longer sequences of text by introducing recurrence into the self-attention mechanism. The basic building blocks of…
Papers Explained 34: TransformerXL The Transformer XL architecture is an extension of the original Transformer model for sequence-to-sequence tasks such as machine translation. The main difference between the two models is that Transformer XL is designed to handle longer sequences of text by introducing recurrence into the self-attention mechanism. The basic building blocks of… deep-learning
Papers Explained 34 TransformerXL Transformer XL architecture extension original Transformer model sequencetosequence task machine translation main difference two model Transformer XL designed handle longer sequence text introducing recurrence selfattention mechanism basic building block of… deeplearning