bookmarks (hide)1792
- In this tutorial I’ll explain how to build a simple working Recurrent Neural Network in TensorFlow. This is the first in a series of seven parts where various aspects and techniques of building…
- Vanishing Gradients in RNN / Eigenvalue Matrix
- Gives an overview of DL approaches to MultiTask Learning and contains a nice set of references.
- Part-of-Speech Tagging, Phrase Chunking and Named Entity Recognition with Python NLTK. Taggers and chunkers trained on treebank, brown, conll2000, ieer.
- nmt - TensorFlow Neural Machine Translation Tutorial
- Created at Sapientia University, Tirgu Mures (Marosvásárhely), Romania. Directed by Kátai Zoltán and Tóth László. In cooperation with "Maros Művészegyüttes",...
publications (hide)878
- ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2342-2350. JMLR.org, (2015)
- CoRR (2015)
- (2012)cite arxiv:1211.5063Comment: Improved description of the exploding gradient problem and description and analysis of the vanishing gradient problem.
- University of Toronto, Toronto, Ont., Canada (2013)
- Cognitive Science 14 (2): 179-211 (1990)
- Proceedings of the 24th International Conference on Neural Information Processing Systems, page 2546--2554. USA, Curran Associates Inc., (2011)
- Computational Science & Discovery 8 (1): 014008 (2015)
- (2016)cite arxiv:1607.04606Comment: Accepted to TACL. The two first authors contributed equally.
- Machine Learning 28 (1): 41-75 (1997)
- (2013)cite arxiv:1301.3781.
- EMNLP, page 1412-1421. The Association for Computational Linguistics, (2015)
- Advances in neural information processing systems, page 3104--3112. (2014)
- CoRR (2017)
- CoRR (2015)
- Adaptive computation and machine learning MIT Press, (2016)
- ICML, page 807-814. Omnipress, (2010)
- Neural Networks 1 (4): 339 - 356 (1988)
- (January 1995)
- CUED/F-INFENG/TR.1. Cambridge Univ., (1987)
- (2015)cite arxiv:1512.03385Comment: Tech report.
