A Recursive Neural Network (RecNN) is a type of neural network architecture that is designed to handle hierarchical or tree-structured data. Unlike traditional feedforward neural networks, which process data in a linear sequence, RecNNs can operate on structures like trees or graphs where information flows along multiple paths. Recursive Neural Networks (RecNNs) are a part of artificial intelligence development (AI). They are a type of neural network architecture that falls under the broader category of machine learning, which is a subset of AI.
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