RMV Extension

The RMV Extension (Residual Memory Variable Extension) is a technique used in neural networks to help them retain information over longer periods. It involves adding extra connections or variables that preserve important past data, preventing the network’s memory from fading too quickly. This enhances the model’s ability to understand and predict sequences where context from earlier steps is crucial. Essentially, the RMV Extension strengthens a network's long-term memory, improving performance in tasks like language modeling, time series analysis, or any application requiring the understanding of extended sequences.