Evolving Large-Scale Neural Networks for Vision-Based TORCS Jan Koutník

First Page		Document Content
Date: 2013-05-22 06:23:16 Science Recurrent neural network Artificial neural network Jürgen Schmidhuber Neuroevolution TORCS Backpropagation Synaptic weight Types of artificial neural networks Neural networks Cybernetics Machine learning		Evolving Large-Scale Neural Networks for Vision-Based TORCS Jan Koutník Add to Reading List Source URL: www.idsia.ch Download Document from Source Website File Size: 2,03 MB Share Document on Facebook

	Recurrent Network Models for Perfect Temporal Integration of Fluctuating Correlated Inputs Hiroshi Okamoto1,2, Tomoki Fukai1,3 1 Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan DocID: 1usFW - View Document
	The 2nd CHiME Workshop on Machine Listening in Multisource Environments Vancouver, Canada, June 1st, 2013 RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT: THE 2nd CHIME CHALLENGE DocID: 1uhjL - View Document
	LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos Arjun Sharma Xerox Research Centre India DocID: 1ueYL - View Document
	Robust model predictive control using neural networks Krzysztof Patan1 , Piotr Witczak2 Abstract— The paper deals with robust model predictive control designed using recurrent neural network. A dynamic neural network i DocID: 1u4DX - View Document
	Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine Translation Giuseppe Attardi Universit`a di Pisa Largo B. Pontecorvo, Pisa, Italy DocID: 1tlw2 - View Document