Stacking in Displaying Self Attention weights in a bi-LSTM with attention mechanism

Question

With the help of code can you tell me Stacking in Displaying Self Attention weights in a bi-LSTM with attention mechanism

Answer 1

Stacking in displaying self-attention weights in a bi-LSTM with an attention mechanism involves visualizing attention scores for each timestep, highlighting important tokens in sequence processing.

Here is the code snippet you can refer to:

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

• Implements a BiLSTM encoder with an attention mechanism.
• Uses Attention to compute self-attention scores over timesteps.
• Outputs attention weights for visualization and interpretation.

Hence, stacking in self-attention weight visualization helps interpret sequence importance in BiLSTM-based models.