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Attention Is All You Need Ashish Vaswani∗ Google Brain avaswani@google. com Noam Shazeer∗ Google Brain noam@google. com Niki Parmar∗ Google Research nikip@google. com Jakob Uszkoreit∗ Google Research usz@google. com Llion Jones∗ Google Research llion@google. com Aidan N. Gomez∗† University of Toronto aidan@cs. toronto.... | example_file.pdf |
transduction problems such as language modeling and machine translation [ 35,2,5]. Numerous efforts have since continued to push the boundaries of recurrent language models and encoder-decoder architectures [38, 24, 15]. Recurrent models typically factor computation along the symbol positions of the input and output se... | example_file.pdf |
Figure 1: The Transformer-model architecture. 3. 1 Encoder and Decoder Stacks Encoder: The encoder is composed of a stack of N= 6 identical layers. Each layer has two sub-layers. The first is a multi-head self-attention mechanism, and the second is a simple, position-wise fully connected feed-forward network. We employ ... | example_file.pdf |
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