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Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs

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Group Discussion
Tuesday 21 March 2017, 13:30-15:00
CBL Room BE-438.

If you have a question about this talk, please contact Alessandro Davide Ialongo .

In this meeting we aim to cover two recent papers on Recurrent Neural Networks (which were first covered last week in Chapter 10 of the Deep Learning Book):

Neural Turing Machines, Graves et al. (2014): https://arxiv.org/pdf/1410.5401.pdf

Conditional Random Fields as RNNs, Zheng and Jayasumana et al. (2015): http://www.robots.ox.ac.uk/~szheng/papers/CRFasRNN.pdf

Please read the material before the meeting.

For future communications as well as suggesting and voting on papers/topics to cover please sign-up to our slack channel:

https://cam-cbl.slack.com/signup

This talk is part of the Machine Learning Study Group series.

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Abstract

In this meeting we aim to cover two recent papers on Recurrent Neural Networks (which were first covered last week in Chapter 10 of the Deep Learning Book):

Neural Turing Machines, Graves et al. (2014): https://arxiv.org/pdf/1410.5401.pdf

Conditional Random Fields as RNNs, Zheng and Jayasumana et al. (2015): http://www.robots.ox.ac.uk/~szheng/papers/CRFasRNN.pdf

Please read the material before the meeting.

For future communications as well as suggesting and voting on papers/topics to cover please sign-up to our slack channel:

https://cam-cbl.slack.com/signup

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Deep Learning Book - Meeting 7 - Neural Turing Machines &amp; Conditional Random Fields as RNNs

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Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs

Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs