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Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs
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:
This talk is part of the Machine Learning Study Group series.
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