GitHub / venkat-a / Text_Processing_RNN_LSTM

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

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Topics: categorical-encoding, deep-neural-networks, embedding-vectors, lstm-neural-networks, model-evaluation-and-tuning, nltk-tokenizer, numpy-arrays, pandas-dataframe, pytorch-nlp, rnn-encoder-decoder, tokenization, vocabulary-builder

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