LSTM: Understanding the Architecture Behind Long Short-Term Memory Networks
- Arya Joshi
- May 11
- 4 min read
In today's fast-paced digital world, data is generated at lightning speed, and the ability to understand and analyze sequential data has never been more critical. Long Short-Term Memory (LSTM) networks stand out as one of the most advanced architectures for tackling these challenges. Developed in 1997 by Hochreiter and Schmidhuber, LSTMs have sparked significant advancements in how we approach tasks ranging from language translation to stock market predictions. With their ability to capture long-range dependencies in data, LSTMs are an essential tool for any data scientist or machine learning enthusiast.