Recurrent Neural Networks: Understanding Sequential Data - Blog Post | Dave Bullock / eecue

> **_NOTE:_** This post is part of my [Machine Learning Series](https://eecue.com/blog/machine-learning-series---exploring-the-world-of-ai-ml) where I discuss how AI/ML works and how it has evolved over the last few decades. Recurrent Neural Networks (RNNs) are a class of neural networks designed to handle sequential data. Whether it's analyzing time series, understanding natural language, or predicting stock prices, RNNs are powerful tools for capturing temporal dependencies in data. In this post, we'll delve into the structure of RNNs, how they process sequences, and their practical applications.