REVIEW doi:nature14539 Deep learning Yann LeCun1,2, Yoshua Bengio3 & Geoffrey Hinton4,5

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Deep learning
• Convolutional neural network
• Recurrent neural network
• Backpropagation
• Autoencoder
• Feature learning
• Recursive neural network
• Long short-term memory
• Perceptron
• Feedforward neural network
• Artificial intelligence

arXiv:1604.04562v2 [cs.CL] 20 MayA Network-based End-to-End Trainable Task-oriented Dialogue System Tsung-Hsien Wen, David Vandyke, Nikola Mrkši´c, Milica Gaši´c,

Source URL: arxiv.org

• Artificial neural networks
• Computational neuroscience
• Cybernetics
• Computational statistics
• Artificial intelligence
• Recurrent neural network
• Long short-term memory
• Speech recognition
• Convolutional neural network
• Music tracker
• Tracker
• Language model

Using Pre-Trained Models for Fine-Grained Image Classification in Fashion Field Anna Iliukovich-Strakovskaia Alexey Dral

Source URL: kddfashion2016.mybluemix.net

• Machine learning
• Deep learning
• Convolutional neural network
• Pattern recognition
• Artificial neural network
• Computer vision
• Boosting
• Supervised learning
• Dimensionality reduction
• ImageNet
• Statistical classification
• Cross-validation

A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1 2

Source URL: homepages.inf.ed.ac.uk

• Artificial neural networks
• Computational neuroscience
• Computational linguistics
• Computational statistics
• Artificial intelligence
• Recurrent neural network
• Speech recognition
• Language model
• Long short-term memory
• Neural machine translation
• Feedforward neural network
• Convolutional neural network

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder Soroush Vosoughi∗ Prashanth Vijayaraghavan∗

Source URL: socialmachines.media.mit.edu

• Artificial neural networks
• Computational neuroscience
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Long short-term memory
• Tweet
• Artificial intelligence
• Autoencoder
• Convolution
• SemEval

The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts1,2 Mohamed Omran3 Sebastian Ramos1,4 Timo Rehfeld1,2 Markus Enzweiler1

Source URL: dl.dropboxusercontent.com

• Image processing
• Computer vision
• Image segmentation
• LabelMe
• ImageNet
• Annotation
• Deep learning
• Conference on Computer Vision and Pattern Recognition
• Convolutional neural network

P-CNN: Pose-based CNN Features for Action Recognition Guilhem Ch´eron∗ † Ivan Laptev∗ Cordelia Schmid†

Source URL: www.normalesup.org

• Computer vision
• Computational neuroscience
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Visual descriptor
• Optical flow
• Pose
• Motion estimation
• Artificial intelligence
• Artificial neural network

arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

Source URL: arxiv.org

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Machine learning
• Recurrent neural network
• Deep learning
• Long short-term memory
• Feedforward neural network
• Convolutional neural network
• Backpropagation
• Connectionism
• Restricted Boltzmann machine

Convolutional Neural Network Implementation of Superresolution Video David Zeng Stanford University Stanford, CA

Source URL: cs231n.stanford.edu

DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers Johann Hauswald Yiping Kang Michael A. Laurenzano Quan Chen Cheng Li Trevor Mudge Ronald G. Dreslinski Jason Mars Lingjia Tang C

Source URL: web.eecs.umich.edu

• Computing
• Computer architecture
• GPGPU
• Parallel computing
• Computer engineering
• Computational neuroscience
• Graphics hardware
• Deep learning
• DNN
• Graphics processing unit
• Artificial neural network
• Convolutional neural network