keras-attention and attention_keras
About keras-attention
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.
About attention_keras
thushv89/attention_keras
Keras Layer implementation of Attention for Sequential models
This project offers a specialized component for building advanced neural network models, specifically for tasks involving sequences like language translation. It takes the output of recurrent neural networks (RNNs) as input and processes them to generate a more focused output, which can then be used to improve the accuracy of sequence prediction. This is used by machine learning engineers or researchers who are building and fine-tuning deep learning models for sequence-to-sequence problems.
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