Can the attentional mechanism be applied to structures like feedforward neural networks

Question

With the help of code can you tell me Can the attentional mechanism be applied to structures like feedforward neural networks?

Answer 1

Yes, the attention mechanism can be applied to feedforward neural networks by incorporating self-attention layers to dynamically weigh input features based on their relevance.

Here is the code snippet you can refer to:

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

• Uses trainable dense layers to compute attention scores.
• Applies softmax to determine feature importance.
• Aggregates weighted inputs for improved decision-making.

Hence, integrating attention into feedforward networks enhances their ability to capture dependencies within input features dynamically.