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About Recurrent Neural Network
Recurrent neural networks (RNNs) are a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows RNNs to exhibit temporal dynamic behavior and process variable length sequences of inputs. RNNs come in many variants like Elman networks, Jordan networks, Hopfield networks, and LSTMs. LSTMs were invented in 1997 and have been applied successfully to tasks like speech recognition, machine translation, and language modeling.
Detailed Information
| Author: | ['ava939'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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