DKMMEHER / RNN-Classification Public

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RNN-Classification demonstrates sequence-based classification using RNNs. It covers preprocessing (tokenization, padding), building recurrent models (SimpleRNN/GRU/LSTM), training/validation, and evaluation metrics—ideal for text or time-series classification experiments.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
LICENSE		LICENSE
README.md		README.md
embedding.ipynb		embedding.ipynb
main.py		main.py
prediction.ipynb		prediction.ipynb
requirements.txt		requirements.txt
simple_rnn_imdb.h5		simple_rnn_imdb.h5
simplernn.ipynb		simplernn.ipynb