Long Short Term Memory Networks
Definition of Long Short Term Memory Networks as it relates to Technology, Artificial Intelligence, Deep Learning
Long Short Term Memory Networks (LSTMs) are a type of recurrent neural network capable of learning long-term dependencies, making them particularly suitable for tasks involving sequences of data, such as time series analysis and natural language processing. As part of the broader field of deep learning, LSTMs leverage multiple layers of artificial neurons to model complex patterns and relationships within data. This technology has numerous applications in artificial intelligence, including speech recognition, machine translation, and predictive analytics, and is a key component in many cutting-edge AI systems.