GLOSSARY TERM
What is Recurrent Neural Network?
A class of neural networks where connections form a directed graph along a temporal sequence.
RNNs utilize internal memory loops to process variable-length sequences of inputs. They are naturally suited for time-series forecasting, speech recognition, and any application where historical context directly informs the current step.
Time-Series Intelligence
Build complex temporal models natively supported by the M1 computational layer.