Gradient Based Learning Applied To Document Recognition

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Gradient-based Learning Applied to Document Recognition . Yann LeCun, Leon Bottou, Yoshua Bengio and Patrick Haffner. 1998. OfirLiba. Michael Kotlyar



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Gradient-based Learning Applied to Document Recognition Yann LeCun, Leon Bottou, Yoshua Bengio and Patrick Haffner Presenter: Lu Jiang Outline Introduction



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Object Recognition with Gradient-Based Learning. Gradient-Based Learning Applied to Document (1999) Object Recognition with Gradient-Based Learning. In:

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Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given

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Yann LeCun. Chief AI Scientist Gradient-based learning applied to document recognition. Y LeCun, L Bottou, Computer Vision and Pattern Recognition 2010. CVPR

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Abstract: multilayer neural networks trained with the back propagation algorithm constitute the best example of a successful gradient based learning technique given

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PDF Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an

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Paper Review: Gradient-based Learning Applied to Document Recognition Feb 25, 2018, categories: deeplearning, literature_review. Paper being reviewed: Paper Review

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Lecun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proceedings of the IEEE 86: 22782324.

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Important Points of Historical Writing. The writer's personal experiences can Both synthesis and analysis of the events are required for good historical writing.

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