Web–Large-sized systems can be learned by gradient-based method with efficient back propagation. –Proposed the notation of graph transformer layer that can be plugged into … WebMultilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten …

LeCun, Y., Bottou, L., Bengio, Y., Haffner, P., et al. (1998) Gradient ...

WebGradient-Based Learning Applied to Document Recognition ... Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a … Web在《Gradient-Based Learning Applied to Document Recognition》这篇论文中，作者使用LeNet-5模型来进行手写数字字符识别任务。 LeNet-5 模型的设计是针对图像识别任务而 … how do you abbreviate receiving

Gradient-based learning applied to document recognition

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