Catatan bukti metode

Attention Mechanism

The attention mechanism, introduced by Bahdanau, Cho and Bengio in 2015 and refined by Luong, Pham and Manning the same year, lets a sequence decoder dynamically learn which of the encoder's outputs to focus on at each step. Before the Transformer, it substantially improved machine-translation quality by freeing models from compressing an entire input into a single fixed vector.

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Attention Mechanism (Bahdanau / Luong Attention)

Catatan metode taksonomi · ml-model / deep-learning

Buka metode lengkap

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