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Deep learning
Results: 859

#	Item
71	arXiv:1602.01783v2 [cs.LG] 16 JunAsynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih1 Adrià Puigdomènech Badia1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-06-16 20:15:31 Machine learning algorithms Machine learning Artificial intelligence Learning Computational neuroscience Artificial neural networks Computational statistics Reinforcement learning Q-learning Convolutional neural network Temporal difference learning Demis Hassabis
72	Deep Reinforcement Learning for General Video Game AI Ruben Rodriguez Torrado* Philip Bontrager* New York University New York, NY Add to Reading List Source URL: www.diego-perez.net Language: English - Date: 2018-06-02 07:55:33
73	Information Bottleneck Method and Deep Learning Daniel Kunin December 16, 2017 1 Add to Reading List Source URL: daniel-kunin.com Language: English - Date: 2017-12-24 18:55:22
74	LETTER doi:nature14236 Human-level control through deep reinforcement learning Add to Reading List Source URL: storage.googleapis.com Language: English - Date: 2016-09-12 10:19:54 Artificial intelligence Computational neuroscience Machine learning Learning Machine learning algorithms Artificial neural networks Cybernetics Q-learning Reinforcement learning Convolutional neural network DQN DeepMind
75	Deep Learning in Domain Scaling for Conversational Agents Ye-‐Yi Wang In collabora0on with Bin Cao, Jianfeng Gao, Ruhi Sarikaya, Gokhan Tur, Asli Celikyilmaz, Add to Reading List Source URL: www.interact25.org Language: English - Date: 2016-09-22 07:19:39
76	DEEP NEURAL NETWORKS ARCHITECTURES Advanced Machine Learning – 26/04 Benzerga Amina Joris Sébastien Add to Reading List Source URL: www.montefiore.ulg.ac.be - Date: 2018-04-18 08:12:03
77	1 Recent Trends in Deep Learning Based Natural Language Processing Tom Young†≡ , Devamanyu Hazarika‡≡ , Soujanya Poria⊕≡ , Erik Cambria5∗ † Add to Reading List Source URL: arxiv.org Language: English - Date: 2018-08-06 20:13:22
78	Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing Pegah Karimi University of North Carolina at Charlotte Charlotte, NCUSA Add to Reading List Source URL: nips2017creativity.github.io Language: English - Date: 2017-12-18 15:10:17
79	On the importance of initialization and momentum in deep learning Ilya Sutskever1 James Martens George Dahl Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-04 20:52:03
80	Deep Learning Ian Goodfellow Yoshua Bengio Aaron Courville Contents Add to Reading List Source URL: www.deeplearningbook.org Language: English - Date: 2018-03-01 11:56:55

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