Recurrent Neural Networks
A class of neural networks where connections between nodes form a directed graph along a temporal sequence.
Description
Recurrent Neural Networks (RNNs) are a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence. This allows them to exhibit temporal dynamic behavior. Unlike feedforward neural networks, RNNs can use their internal state (memory) to process sequences of inputs, making them applicable to tasks such as speech recognition and language translation.
Examples
- 🌐 Language translation
- 🗣️ Speech recognition
- 📈 Time series prediction
Applications
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