Attentive Attention Mechanism for Answer Representation - Keras Layer

Question

With the help of code can you tell me Attentive Attention Mechanism for Answer Representation - Keras Layer

Answer 1

The Attentive Attention Mechanism enhances answer representation by applying multiple attention layers to refine contextual relevance in a Keras-based model.

Here is the code snippet you can refer to:

In the above code snippets we are using the following techniques:

• Implements AttentiveAttention as a custom Keras Layer.
• Uses a two-layer attention network (Dense layers) for score computation.
• Applies Softmax for attention weight normalization.
• Aggregates weighted input representations to form the context vector.
• Provides a refined answer representation by emphasizing important features.

Hence, the Attentive Attention Mechanism in Keras refines answer representations by leveraging multiple attention layers for enhanced contextual understanding.