keras-attention
Keras Attention Layer features Luong and Bahdanau attention mechanisms, aimed at enhancing model precision and consistency. Supporting Tensorflow 2.0+, it is ideal for sequence data processing with multiplicative and additive styles. Installation through PyPI ensures easy integration into Keras models. Demonstrates significant accuracy improvement in tasks like sequence classification. Attention weights visualization aids understanding of model dynamics, offering a valuable resource for deep learning model analysis.
