AUTOMATIC MAP FEATURE EXTRACTION USING ARTIFICIAL NEURAL NETWORKS Itthi Trisirisatayawong and Mark R. Shortis Department of Geomatics University of Melbourne Parkville VIC 3052 AUSTRALIA

Source URL: mapcontext.com

• Machine learning
• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Mathematical psychology
• Pattern recognition
• Backpropagation
• Statistical classification
• Image segmentation
• Supervised learning
• Deep learning
• Book:Machine Learning The Complete Guide

PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo

Source URL: www.maths.lse.ac.uk

• Computational learning theory
• Artificial neural networks
• Machine learning
• Computational statistics
• Learning
• VC dimension
• Sample complexity
• Probably approximately correct learning
• Backpropagation
• Perceptron
• Vladimir Vapnik
• Radial basis function 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

Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto different architectures (in particular, CPU and GPU). It was developed by machine learning researchers at the Univ

Source URL: colinraffel.com

• Artificial neural networks
• Sigmoid function
• Artificial neuron
• Parameter
• Function
• Gradient descent
• Backpropagation
• Multilayer perceptron
• Activation function
• Theano
• Default argument
• Artificial intelligence

Evolving memory cell structures for sequence learning Justin Bayer, Daan Wierstra, Julian Togelius and J¨ urgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland {justin, daan, julian, juergen}@idsia.ch

Source URL: people.idsia.ch

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• Long short-term memory
• Recurrent neural network
• Artificial intelligence
• Handwriting recognition
• Feedforward neural network
• Backpropagation through time
• Backpropagation
• Brain

Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Applied mathematics
• Artificial intelligence
• Machine learning
• Neuroevolution
• Evolutionary algorithm
• Deep learning
• Backpropagation
• Stochastic gradient descent
• HyperNEAT
• Genetic algorithm
• Multilayer perceptron

ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

Source URL: arxiv.org

• Artificial neural networks
• Applied mathematics
• Machine learning
• Cybernetics
• Recurrent neural network
• Deep learning
• Long short-term memory
• Stochastic gradient descent
• Convolutional neural network
• Rectifier
• Backpropagation
• Gradient descent

Workshop track - ICLRF EED -F ORWARD N ETWORKS WITH ATTENTION C AN S OLVE S OME L ONG -T ERM M EMORY P ROBLEMS Daniel P. W. Ellis LabROSA, Columbia University

Source URL: colinraffel.com

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Computational statistics
• Deep learning
• Recurrent neural network
• Speech recognition
• Sepp Hochreiter
• Long short-term memory
• Yoshua Bengio
• Backpropagation through time
• Memory

IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 6, NOVEMBERNonlinear Backpropagation: Doing Backpropagation Without Derivatives of the Activation Function

Source URL: people.binf.ku.dk

Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning Jan Koutník Giuseppe Cuccu

Source URL: people.idsia.ch

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Machine learning
• Recurrent neural network
• Backpropagation
• Jrgen Schmidhuber
• Deep learning
• Types of artificial neural networks