【Deep Learning】ResNet解析：Deep Residual Learning for Image Recognition

时间 2020-02-08

标签 Deep Learning resnet 解析 deep residual learning image recognition 繁體版

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Microsoft的ResNet赢得了ILSVRC 2015 和COCO 2015的冠军。网络它是为了解决在深度神经网络中，随着深度的加深，training error会增大。ide 这显然不是由于overfitting，由于overfitting的表现是在train set上表现很好，test set上表现变差。函数它的基本模块结构以下：学习定义公式是：ui 这里，x，y分别表明每一层的输

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1. ResNet--Deep Residual Learning for Image Recognition
2. [ResNet]Deep Residual Learning for Image Recognition
3. ResNet —— Deep Residual Learning for Image Recognition
4. ResNet(deep residual learning for image recognition)
5. ResNet——Deep Residual Learning for Image Recognition
6. ResNet解析：Deep Residual Learning for Image Recognition
7. Deep Residual Learning for Image Recognition（ResNet）阅读
8. Deep Residual Learning for Image Recognition
9. Deep Residual Learning for Image Recognition （zh）
10. Deep Residual Learning For Image Recognition

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