memory attention networks
Memory attention networks are neural networks that use an attention mechanism to selectively focus on parts of the input sequence, or memory, during computation. By assigning different weights to different elements in the memory, these networks enhance the importance of relevant information while suppressing irrelevant information, improving their ability to process and make predictions based on sequential data.
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