Recurrent Neural Network
R
Recurrent Neural Network
Definition
A class of neural networks designed for sequential data where connections between nodes form directed cycles. RNNs maintain a hidden state that captures information from previous time steps, making them suitable for tasks like speech recognition and time series analysis.