RNN, LSTM, GRU and Attention
Dive into the transformative world of neural networks with this comprehensive guide on RNN, LSTM, GRU, and Attention mechanisms. Explore how these models tackle the challenges of sequence prediction, manage long-term dependencies, and revolutionize language processing tasks. This article provides intuitive explanations, detailed visualizations, and contrasts between the architectures to enhance your understanding of their practical applications.