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Deep neural network architecture implementation on FPGAs using a layer multiplexing scheme
Conference ObjectAbstract: In recent years predictive models based on Deep Learning strategies have achieved enormous success iPalabras claves:Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.Fuentes:scopusLayer multiplexing FPGA implementation for deep back-propagation learning
ArticleAbstract: Training of large scale neural networks, like those used nowadays in Deep Learning schemes, requiresPalabras claves:Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.Fuentes:scopusMulticlass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm
ArticleAbstract: The new C-Mantec algorithm constructs compact neural network architectures for classsification problPalabras claves:Multiclass pattern recognition, Neural networks, Supervised learningAutores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopus