<--- Back to Details
First PageDocument Content
Artificial neural networks / Neuroscience / Cognitive science / Computational neuroscience / Artificial intelligence / Machine learning / Computational statistics / Deep learning / Word embedding / Recurrent neural network / Language model / Long short-term memory
Date: 2016-06-08 15:36:19
Artificial neural networks
Neuroscience
Cognitive science
Computational neuroscience
Artificial intelligence
Machine learning
Computational statistics
Deep learning
Word embedding
Recurrent neural network
Language model
Long short-term memory

Visualizing and Understanding Neural Models in NLP Jiwei Li1 , Xinlei Chen2 , Eduard Hovy2 and Dan Jurafsky1 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA Technology Institute, Carnegie Mell

Add to Reading List

Source URL: web.stanford.edu

Download Document from Source Website

File Size: 1.001,26 KB

Share Document on Facebook

Similar Documents

Thinking Fast and Slow with Deep Learning and Tree Search Thomas Anthony1, , Zheng Tian1 , and David Barber1,2 arXiv:1705.08439v4 [cs.AI] 3 Dec 2017

Thinking Fast and Slow with Deep Learning and Tree Search Thomas Anthony1, , Zheng Tian1 , and David Barber1,2 arXiv:1705.08439v4 [cs.AI] 3 Dec 2017

DocID: 1xVZc - View Document

Cooperative Multi-Agent Control Using Deep Reinforcement Learning Jayesh K. Gupta Maxim Egorov

Cooperative Multi-Agent Control Using Deep Reinforcement Learning Jayesh K. Gupta Maxim Egorov

DocID: 1xVVh - View Document

1  Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

1 Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

DocID: 1xVRV - View Document

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs  Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton  Sudarshan

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton Sudarshan

DocID: 1xVPK - View Document

Deep Drone Racing: Learning Agile Flight in Dynamic Environments Elia Kaufmann1∗, Antonio Loquercio1∗, Ren´e Ranftl2 , Alexey Dosovitskiy2 , Vladlen Koltun2 , Davide Scaramuzza1 1 Robotics and Perception Group Depts

Deep Drone Racing: Learning Agile Flight in Dynamic Environments Elia Kaufmann1∗, Antonio Loquercio1∗, Ren´e Ranftl2 , Alexey Dosovitskiy2 , Vladlen Koltun2 , Davide Scaramuzza1 1 Robotics and Perception Group Depts

DocID: 1xVCK - View Document