Long Short-Term Memory (Lstm)
In artificial intelligence, long short-term memory (LSTM) is a recurrent neural network (RNN) architecture that is used in the field of deep learning. LSTM networks are well-suited to classifying, processing and making predictions based on time series data, since they can remember previous information in long-term memory.
Areas of application
- Natural Language Processing
- Speech Recognition
- Anomaly Detection in Network Traffic
- Medical Diagnosis
- Stock Market Prediction
- Video Activity Recognition
- Music Composition
Example
LSTM networks have been successfully applied to a variety of tasks such as speech recognition, natural language processing, and predicting stock prices based on historical data.