What are Recurrent Neural Networks (RNNs)?
Recurrent Neural Networks (RNNs) are a type of neural network commonly used for sequential data processing tasks, such as natural language processing, speech recognition, and time series analysis. RNNs have the ability to retain information from previous steps and use it to make predictions or generate sequences.Unlike feedforward neural networks, where information flows in one direction from input to output, RNNs introduce feedback connections that allow information to persist. This feedback connection creates a loop, enabling the network to store and process information about the sequence it has seen so far.Related terms
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