Long Short-Term Memory (LSTM) vs Transfer Learning

LSTM (Long Short-Term Memory) is a recurrent neural network architecture specifically designed to capture long-range temporal dependencies in sequential data, enabling cryptocurrency price and volatility forecasting from historical price series.

A machine learning technique where knowledge learned from one task or dataset is transferred and applied to a related but different task, reducing training time and data requirements by leveraging previously learned patterns.