LSTM is like having a super-smart notebook that not only remembers what you wrote but also can recall important details from the past to help with your current notes.
Imagine you’re writing a story, and you need to keep track of details that are important for the plot. Sometimes, you need to remember what happened earlier in the story to make sure everything fits together correctly. A regular notebook might not help you recall those details as easily, but a super-smart notebook would highlight important information and remind you of relevant parts from earlier.
LSTM, which stands for Long Short-Term Memory, works similarly but for computers. It’s a special type of system used in machine learning to remember information over long periods. For example, if you’re teaching a computer to understand text, LSTM helps it remember important words or phrases from earlier in the text so it can make better predictions about what comes next.
Instead of just looking at the most recent information, LSTM can recall useful details from further back in the sequence, making it very good at handling tasks where context and order matter, like translating sentences or recognizing speech.
In simple terms, LSTM is a smart system that helps computers remember important details from the past, allowing them to make more accurate predictions and understand sequences better.
