Recurrent Neural Networks
Definition of Recurrent Neural Networks as it relates to Technology, Artificial Intelligence, Artificial Neural Networks, Machine Learning
Recurrent Neural Networks (RNNs) are a type of artificial neural network designed to recognize patterns in sequences of data, such as text, genomes, handwriting, or spoken words. They're particularly useful for tasks involving time series data, where the order of the data is important. RNNs have feedback connections, allowing information from previous steps to influence the current step's computations. This gives them a kind of memory, which is crucial for understanding context in sequences. In the hierarchy of Technology, Artificial Intelligence, Artificial Neural Networks, and Machine Learning, RNNs are a specialized tool within Machine Learning, capable of handling sequential data that other algorithms struggle with.
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