Attention in Keras How to add different attention mechanism in keras Dense layer

Question

Can i know Attention in Keras : How to add different attention mechanism in keras Dense layer?

Answer 1

To add different attention mechanisms in a Keras Dense layer, use self-attention, additive attention, or multiplicative attention to dynamically weight input features before passing them to the Dense layer.

Here is the code snippet you can refer to:

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

• Uses Query, Key, and Value layers for attention score computation.
• Multiplicative Attention (Dot Product) is applied to calculate attention weights.
• Softmax normalization ensures proper weighting of input features.
• Final Dense layer receives weighted attention-enhanced inputs for classification.

Hence, different attention mechanisms like self-attention or multiplicative attention can be integrated before a Dense layer to enhance feature selection and improve model performance.