recurrent neural networks
Recurrent neural networks (RNNs) are a type of artificial neural network that allows for the processing of sequential data by maintaining a hidden state and using it as input for the next data point, enabling the network to incorporate temporal information into its predictions.
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Related Concepts (6)
Similar Concepts
- artificial neural networks
- convolutional neural networks
- convolutional neural networks (cnn)
- feedforward neural networks
- fuzzy neural networks
- neural network architecture
- neural network architectures
- neural network layers
- neural network modeling
- neural network models
- neural network training
- recurrent layers
- recurrent neural networks (rnn)
- recurrent neural networks with attention
- robustness of neural networks