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Harvard CS 287

CS287: Natural Language Processing. OH: Wed 1-4, MD 217. OH: Fri, 3-4, MD 2nd floor lounge. OH: Mon, 5-6, MD 2nd floor lounge. Tues/Thurs 2:30-4pm Jefferson 256. Primer on NN for NLP (YG). The nn tutorial will be Friday (2/12) at 2pm, in MD 223. The Torch tutorial will be tomorrow (1/29) at 2pm, in Pierce 320. Background and Naive Bayes. Bishop (2006) 4.2, 4.3. Murphy (2012) 3.5. Wang and Manning (2012). Murphy (2012) 8.1-8.3. Berger et al (1996). YG 6-6.1, , optim. Collobert et al (2011).

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Harvard CS 287 | cs287.fas.harvard.edu Reviews

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CS287: Natural Language Processing. OH: Wed 1-4, MD 217. OH: Fri, 3-4, MD 2nd floor lounge. OH: Mon, 5-6, MD 2nd floor lounge. Tues/Thurs 2:30-4pm Jefferson 256. Primer on NN for NLP (YG). The nn tutorial will be Friday (2/12) at 2pm, in MD 223. The Torch tutorial will be tomorrow (1/29) at 2pm, in Pierce 320. Background and Naive Bayes. Bishop (2006) 4.2, 4.3. Murphy (2012) 3.5. Wang and Manning (2012). Murphy (2012) 8.1-8.3. Berger et al (1996). YG 6-6.1, , optim. Collobert et al (2011).

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1 harvard university

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Harvard CS 287 | cs287.fas.harvard.edu Reviews

https://cs287.fas.harvard.edu

CS287: Natural Language Processing. OH: Wed 1-4, MD 217. OH: Fri, 3-4, MD 2nd floor lounge. OH: Mon, 5-6, MD 2nd floor lounge. Tues/Thurs 2:30-4pm Jefferson 256. Primer on NN for NLP (YG). The nn tutorial will be Friday (2/12) at 2pm, in MD 223. The Torch tutorial will be tomorrow (1/29) at 2pm, in Pierce 320. Background and Naive Bayes. Bishop (2006) 4.2, 4.3. Murphy (2012) 3.5. Wang and Manning (2012). Murphy (2012) 8.1-8.3. Berger et al (1996). YG 6-6.1, , optim. Collobert et al (2011).

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nlp.seas.harvard.edu

harvardnlp

http://nlp.seas.harvard.edu/code

Open-source implementations of popular deep learning techniques with applications to NLP. While this is research code (and usual caveats apply), it has been used in industrial teams outside of our group, and licenses are included in the repos. Hendrik Strobelt and Sebastian Gehrmann. CNN for Text Clasification. Jeffrey Ling (based on code by Yoon Kim). LSTM Character-Aware Language Model. PAD: Phrase-structure After Dependencies. Alexander Rush and Lingpeng Kong. Alexander Rush and Yoon Kim.

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Deep Learning | BICV Group

http://www.bicv.org/deep-learning

Biologically Inspired Computer Vision research group. The purpose of the Deep Learning Network. Is to unite researchers across Imperial College London working on deep learning by facilitating the sharing of knowledge and experience, and expanding this to the wider deep learning community. There is no formal membership and all are welcome to attend meetings. You may subscribe to the mailing list here. For more information please contact Kai. Tim Rocktäschel (University College London). Convolutional Neura...

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cs287.fas.harvard.edu

Harvard CS 287

CS287: Natural Language Processing. OH: Wed 1-4, MD 217. OH: Fri, 3-4, MD 2nd floor lounge. OH: Mon, 5-6, MD 2nd floor lounge. Tues/Thurs 2:30-4pm Jefferson 256. Primer on NN for NLP (YG). The nn tutorial will be Friday (2/12) at 2pm, in MD 223. The Torch tutorial will be tomorrow (1/29) at 2pm, in Pierce 320. Background and Naive Bayes. Bishop (2006) 4.2, 4.3. Murphy (2012) 3.5. Wang and Manning (2012). Murphy (2012) 8.1-8.3. Berger et al (1996). YG 6-6.1, , optim. Collobert et al (2011).

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