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This document provides an overview of Recurrent Neural Networks (RNNs) and their variations, including Bidirectional RNNs and Long Short-Term Memory (LSTM) networks. It explains the architecture, functioning, advantages, disadvantages, and applications of RNNs, emphasizing their ability to handle sequential data. Additionally, it discusses Recursive Neural Networks (RvNNs) and their role in natural language processing, highlighting their structured approach to data representation.

Author

Anitha M

Language

EN