Classifying Disney Characters from Commercial Merchandise using Convolutional Neural Networks Paula Kusumaputri Stanford University Edwin Park

Source URL: cs231n.stanford.edu

Master thesis project at Vironova AB in image analysis and machine learning Convolutional neural networks for classification of transmission electron microscopy imagery Convolutional neural networks (CNNs) have played a

Source URL: www.cb.uu.se

An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

Source URL: ai.stanford.edu

• Machine learning
• Statistics
• Artificial intelligence
• Learning
• Feature learning
• Deep learning
• K-means clustering
• Pattern recognition
• Supervised learning
• Statistical classification
• Artificial neural network
• Cluster analysis

Microsoft PowerPoint - cs559f15_Week9.pptx

Source URL: www.cs.stevens.edu

• Statistical classification
• Statistics
• Geometry
• Machine learning
• Learning
• Artificial neural networks
• Multivariate statistics
• Perceptron
• Support vector machine
• Linear separability
• Discriminant function analysis
• Hyperplane

Recognizing Handwritten Japanese Characters Using Deep Convolutional Neural Networks Charlie Tsai Department of Chemical Engineering Stanford University

Source URL: cs231n.stanford.edu

Auto-Sizing Neural Networks: With Applications to n-gram Language Models Kenton Murray and David Chiang Department of Computer Science and Engineering University of Notre Dame {kmurray4,dchiang}@nd.edu

Source URL: kentonmurray.com

Neural networks: continuous approach and applications to image processing Georges-Henri Cottet LMC-IMAG, Universit´e Joseph Fourier BP 53x, 38041 Grenoble C´edex December 30, 1997

Source URL: www-ljk.imag.fr

Natural Neural Networks arXiv:1507.00210v1 [stat.ML] 1 Jul 2015 Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu {gdesjardins,simonyan,razp,korayk}@google.com

Source URL: arxiv.org

Neural Networks, 14(3):7-24, AprilInvited article) Bayesian Approach for Neural Networks – Review and Case Studies Jouko Lampinen and Aki Vehtari Laboratory of Computational Engineering, Helsinki University of

Source URL: www.lce.hut.fi

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