implement Attention mechanism in seq2seq Maluuba model

Question

Can i know implement Attention mechanism in seq2seq Maluuba model

Answer 1

The Maluuba seq2seq model integrates an attention mechanism to dynamically focus on relevant encoder states while generating each decoder output.

Here is the code snippet you can refer to:

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

• Implements an LSTM-based Encoder to process input sequences.
• Defines an Attention layer that computes soft attention over encoder outputs.
• Uses an LSTM Decoder that dynamically attends to encoder states.
• Concatenates the context vector with the decoder input at each step.
• Outputs predictions and attention weights for sequence generation.

Hence, the Maluuba seq2seq model effectively integrates attention, improving translation and sequence generation by dynamically focusing on relevant past states.