Understanding Transformer Networks and the Self-Attention Mechanism
In 2017, the artificial intelligence landscape changed forever with the publication of the seminal paper “Attention Is All You Need” by Vaswani et al. The paper introduced the Transformer, a revolutionary neural network architecture that discarded recurrence (RNNs, LSTMs) entirely, opting instead to process sequential data in parallel using the Self-Attention Mechanism.
Transformer
Self-Attention
Deep Learning
NLP
AI Architecture