Journal of Machine Learning Research1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Learning
• Computational neuroscience
• Computer vision
• Convolutional neural network
• Computational statistics
• Deep learning
• Dropout
• Backpropagation
• Autoencoder

Theoretical understanding of the early visual processes by data compression and data selection Published in Network: computation in neural systems, December 2006, Vol 17, Number 4, PageLi Zhaoping Department of

Source URL: www0.cs.ucl.ac.uk

REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING Peter Bell and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABST

Source URL: www.cstr.ed.ac.uk

• Artificial neural networks
• Machine learning
• Artificial intelligence
• Applied mathematics
• Speech recognition
• Boltzmann machine
• Recurrent neural network
• Multi-task learning
• Deep belief network
• Backpropagation
• Acoustic model
• Language model

Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen†

Source URL: www.cse.cuhk.edu.hk

• Computational neuroscience
• Applied mathematics
• Cybernetics
• Mathematics
• Convolutional neural network
• Outline of object recognition
• Localization
• Image segmentation
• Artificial neural network
• Artificial intelligence
• Valuation

Protein Secondary Structure Analysis Using Neural Network K. Nakata

Source URL: www.jsbi.org

• Bioinformatics
• Protein structure
• Proteomics
• Protein methods
• Protein secondary structure
• Stereochemistry
• Amino acid
• Protein
• PSIPRED
• Protein structure prediction

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho Bart van Merri¨enboer Caglar Gulcehre Universit´e de Montr´eal

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Applied mathematics
• Deep learning
• Recurrent neural network
• Recursive neural network
• Feature learning
• Word embedding
• Statistical machine translation
• Language model
• Autoencoder

Image Classification using Higher-Order Neural Models James Bergstra, Yoshua Bengio, Jerome Louradour Universit´ e de Montr´ eal Neural network research in machine learning grew out of theories from computational neuro

Source URL: snowbird.djvuzone.org

Chris Olah "I want to understand things clearly and explain them well." Work Experience May - Sep., 2015

Source URL: colah.github.io

• Computational neuroscience
• DIY culture
• Artificial neural networks
• 3D printing
• Deep learning
• Convolutional neural network
• OpenSCAD
• 3D modeling
• RepRap project

From Image-level to Pixel-level Labeling with Convolutional Networks Pedro O. Pinheiro1,2 Ronan Collobert1,3,† 1 Idiap Research Institute, Martigny, Switzerland 2

Source URL: ronan.collobert.com

• Artificial intelligence
• Computer vision
• Vision
• Image processing
• Image segmentation
• Convolutional neural network
• ImageNet
• Conference on Computer Vision and Pattern Recognition
• Mixture model
• Deep learning

THE JOURNAL OF COMPARATIVE NEUROLOGY 500:807– Review Online Workbenches for Neural Network Connections MIHAIL BOTA AND LARRY W. SWANSON*

Source URL: brancusi.usc.edu