RNN (Recurrent Neural Network)
/rɪˈkʌrənt ˈnjʊərəl ˈnetwɜːrk/
A neural network architecture designed for sequential data, with connections that loop back to previous states.
In italiano: RNN (Recurrent Neural Network)RNNs process sequences by maintaining a hidden state that captures information from previous time steps. They excel at tasks with temporal dependencies but suffer from vanishing gradients. LSTM and GRU address this issue.
Examples
- Time series forecasting
- Text generation
- Speech recognition