What does the source hidden state refer to in the Attention Mechanism

Question

With the help of code can you tell me What does the "source hidden state" refer to in the Attention Mechanism?

Answer 1

The source hidden state in the Attention Mechanism refers to the encoder's output representations, which help the decoder focus on relevant input parts during sequence generation.

Here is the code snippet you can refer to:

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

• Defines an Attention layer, computing alignment between the decoder's hidden state and encoder outputs.
• Uses source hidden states (encoder outputs) to calculate attention scores.
• Applies a softmax function to generate attention weights.
• Computes a context vector, which helps the decoder focus on relevant source parts.

Hence, the source hidden state (encoder output) plays a crucial role in the Attention Mechanism by providing context for the decoder, ensuring better sequence generation.