<ul><li>LSTM is a memory system for machines, helping them remember important information over time. It uses special 'gates' to decide what information to keep, update, or forget.</li><li>CNNs analyze images by breaking them down into smaller pieces and looking for patterns. They use layers of filters to detect features and recognize objects.</li><li>Transformers can understand entire documents at once, rather than reading word by word. They use attention mechanism to focus on important parts of the input.</li><li>These models are used in various applications like recommendation systems and virtual assistants, making life easier and more connected.</li></ul>

Breaking Down Complex ML Models: Explaining LSTM, CNN, and Transformers for Beginners

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