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What is RNNs for Sequence Data Processing about?

This document discusses recurrent neural networks (RNNs) and their application to sequence modeling problems. It begins by explaining why RNNs are useful for sequence data and how they differ from traditional feedforward neural networks. It then covers the basic mechanics of RNNs, including how they can retain information about previous elements in a sequence through their hidden state. The document discusses different types of RNN architectures for one-to-one, one-to-many, many-to-one, and many-to-many pro

Author

Muhammad Hanan

Language

EN