Understanding Recurrent Neural Network
When diving into AI/ML, we constantly hear about transformers and their revolutionary impact. But how did we get here? The journey started from Traditional Neural Networks ➡ Recurrent Neural Networks (RNNs) ➡ Attention Mechanisms and finally to Transformers. RNNs were a significant milestone because they addressed sequential data processing but had major limitations. These limitations led to the birth of attention mechanisms and transformers. Interestingly, before GPT became a household name, Google extensively used RNNs in their products, including predictive text, speech recognition, and early recommendation systems. ...