How to Implement Multi-Head Attention from Scratch in TensorFlow and Keras
We have already familiarized ourselves with the theory behind the Transformer model and its attention mechanism. We have already started our journey of implementing a complete model by seeing how to implement the scaled-dot product attention. We shall now progress one step further into our journey by encapsulating the scaled-dot product attention into a multi-head attention mechanism, which is a core component. Our end goal remains to apply the complete model to Natural Language Processing (NLP).
In this tutorial, you will discover how to implement multi-head attention from scratch in TensorFlow and Keras.
After completing this tutorial, you will know:
- The layers that form part of the multi-head attention mechanism.
- How to implement the