Question
What is a special type of machine learning that can apply deep learning after large inputs of analyzed data?
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Recurrent Neural Networks (RNNs) are a special type of machine learning that can apply deep learning after large inputs of analyzed data. RNNs are designed to handle sequences of data and can capture patterns and dependencies in sequential data through their recurrent connections. They are commonly used in tasks such as natural language processing, speech recognition, and time series analysis.
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