How to add an attention mechanism in keras

Question

Can you tell me How to add an attention mechanism in keras?

Answer 1

An attention mechanism in Keras can be added by computing attention scores over encoded features, applying a weighted sum, and integrating the resulting context vector into the model's decision-making process.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Uses an LSTM to Process Sequential Data and generate hidden states.
• Applies an Attention Mechanism to dynamically focus on key time steps.
• Computes Context Vectors using self-attention over LSTM outputs.
• Aggregates Important Features with a weighted sum operation.
• Uses a Dense Sigmoid Layer for final classification.

Hence, adding an attention mechanism in Keras enhances sequential modeling by selectively emphasizing the most relevant parts of the input sequence.