Attention mechanism, which for each input, weighs the relevance of every input and draws information from them accordingly when producing the output.


Illustrated: Self-Attention
Step-by-step guide to self-attention with illustrations and code.
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Attention? Attention!
In this post, we are gonna look into how attention was invented, and various attention mechanisms and models, such as transformer and SNAIL.
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Attention Mechanism
Main concepts behind Attention, including an implementation of a sequence-to-sequence Attention model, followed by the application of Attention in ...
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All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
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Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
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