datalogue/keras-attention
Visualizing RNNs using the attention mechanism
This helps developers understand how a neural network processes and translates dates by visualizing its 'attention.' You input various human-readable date formats, and the system shows how the network focuses on different parts of the input to produce a standardized 'machine-readable' date. It's designed for machine learning engineers or researchers experimenting with neural network architectures for sequence-to-sequence tasks.
750 stars. No commits in the last 6 months.
Use this if you are a machine learning developer or researcher wanting to visualize the attention mechanism within a Recurrent Neural Network (RNN) for a date translation task.
Not ideal if you're looking for a production-ready date parsing or natural language processing tool, as this is reference code for understanding a specific ML concept.
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750
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245
Language
Python
License
AGPL-3.0
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Last pushed
Jun 25, 2019
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