Using Neural Networks to Understand Arbitrary Text – Video

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In his capstone project Sami Zemedkun used long short-term memory (LSTM) recurrent neural networks (RNNs) to create a system capable of reading arbitrary text and answering questions about that text. He tested his system on Facebook’s bAbI Q&A dataset, and the model at this moment is more accurate on the Facebook bAbI dataset than any other results.

See his project below:

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