Recurrent Neural Networks (RNNs)

author: Yoshua Bengio, Department of Computer Science and Operations Research, University of Montreal
published: July 27, 2017,   recorded: June 2017,   views: 21229

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Reviews and comments:

Comment1 Sandro Cavallari, September 6, 2017 at 7:46 a.m.:

Really nice talk.

Gives an exhaustive understanding of all the major works done on RNN.

I wish he could add on or two slides about the difference between recurrent and recursive network

Comment2 Emma Nguyen, September 12, 2017 at 1:44 p.m.:

Thank you very much for posting this video. Wish that I had watched it earlier. Love the content and the updates of RNN architectures.

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Comment13 Marie, May 7, 2021 at 9:29 a.m.:

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Comment20 Robert Harmon, October 17, 2022 at 7:47 a.m.:

A recurrent neural network (RNN) is a type of artificial neural network that works with time series or sequential data. These deep learning algorithms are commonly used for ordinal or temporal problems like language translation, natural language processing (nlp), speech recognition, and image captioning; they are embedded in popular applications like Siri, voice search, and Google Translate. Credit

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