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27 lines
1.1 KiB
JSON
27 lines
1.1 KiB
JSON
[
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{
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"file": "fig1-03.png",
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"page": 3,
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"label": "Figure 1",
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"caption": "The Transformer - model architecture."
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},
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{
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"file": "fig2-04.png",
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"page": 4,
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"label": "Figure 2",
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"caption": "(left) Scaled Dot-Product Attention. (right) Multi-Head Attention consists of several attention layers running in parallel."
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},
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{
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"file": "table2-08.png",
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"page": 8,
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"label": "Table 2",
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"caption": "The Transformer achieves better BLEU scores than previous state-of-the-art models on the English-to-German and English-to-French newstest2014 tests at a fraction of the training cost."
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},
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{
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"file": "fig3-13.png",
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"page": 13,
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"label": "Figure 3",
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"caption": "An example of the attention mechanism following long-distance dependencies in the encoder self-attention in layer 5 of 6. Many of the attention heads attend to a distant dependency of the verb 'making', completing the phrase 'making...more difficult'. Attentions here shown only for the word 'making'. Different colors represent different heads. Best viewed in color."
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}
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]
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