A recursive neural network is a type of artificial neural network that is mainly used in speech recognition and automatic natural language processing ( NLP, NLT ). In addition, are used by combining previous steps in time for the representation of the current steps.
Recursive neural networks are designed to recognize the sequential features and data usage patterns necessary to predict the next most likely scenario.
RNNs are used in deep learning and in the development of models that simulate the activity of the human brain system. They are particularly powerful in scenarios that involve context in predicting an outcome.
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