This project aims to develop a LSTM Sequence2Sequence based neural network that can extract data from videos, convert that data to textual form and finally apply deep learning to get summaries from multiple sections of data.
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nitinkmr333/LSTM-Seq2Seq-TextSummarizer
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LSTM Sequence2Sequence based neural network for converting data from videos and applying deep learning to generate human-like summaries from multiple sections of videos.
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