A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
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Updated
Aug 31, 2020 - Jupyter Notebook
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
This repo contains my implementaions of notebooks in TensorFlow (not in Trax which is used in the course) of Natural Language Processing Specialization: Course4 (NLP with Attention) by deeplearning.ai on Coursera
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