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What is RNNs and LSTMs in Natural Language Processing about?

Chapter 8 discusses Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks, emphasizing their ability to handle the temporal nature of language processing. RNNs utilize recurrent connections to maintain context over time, while LSTMs are designed to manage long-term dependencies and mitigate issues like vanishing gradients. The chapter also covers applications of RNNs in language modeling, sequence labeling, and text classification, as well as the advantages of stacked and bidirectional

Author

hamza.oukil

Language

EN