GLOSSARY TERM
What is Gated Recurrent Unit?
A gating mechanism in recurrent neural networks similar to LSTM but computationally lighter.
GRUs utilize update and reset gates to control the flow of information. They solve the vanishing gradient problem in standard RNNs while requiring fewer parameters than LSTMs, offering faster training times for sequence modeling.
Efficient Sequence Modeling
Process temporal data rapidly using optimized GRU architectures on M1.