Towards Data Science, Neural Networks, Deep Learning, Machine Learning, Naturallanguageprocessing.
will dive into the Transformer Network architecture. Contents: Challenges with RNNs and how Transformer models can help overcome those challenges The Attention Mechanism 2.1 Self-Attention 2.2 Query, Key, and Values 2.3 Neural network representation of Attention 2.4 Multi-Head Attention 3.