3 resultados para Dipl.-Ing. Olaf Figgener


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[ES] La literatura existente señala el potencial de una gestión medioambiental proactiva en la generación de capacidades organizativas relativas a la minimización de costes. Además, durante los últimos años, la internalización de los costes medioambientales de la industria transportista ha sido un importante objetivo en el desarrollo de políticas públicas.

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Deep neural networks have recently gained popularity for improv- ing state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Mod- ern award-winning architectures have systematically surpassed previous attempts at tackling computer vision problems and keep winning most current competitions. After a brief study of deep learning architectures and readily available frameworks and libraries, the LeNet handwriting digit recognition network study case is developed, and lastly a deep learn- ing network for playing simple videogames is reviewed.

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Este trabajo ha sido realizado en el marco del Grupo de Investigación Consolidado GIC 07/21-IT.288.07.