How to Implement Multi-Head Attention From Scratch in TensorFlow and Keras

We have already familiarised ourselves with the theory behind the Transformer model and its attention mechanism, and 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, of which it is a core component. Our end goal remains the application of 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. How to Implement Multi-Head Attention From Scratch in TensorFlow and Keras Photo by Everaldo Coelho, some rights reserved.