Attention is a powerful mechanism developed to enhance the performance of the Encoder-Decoder architecture on neural network-based machine translation tasks. Learn more about how this process works and how to implement the approach into your work.
Originally from KDnuggets https://ift.tt/3i3hNnt
source https://365datascience.weebly.com/the-best-data-science-blog-2020/attention-mechanism-in-deep-learning-explained
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