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深度较之宽度对神经网络具有更重要的意义,能一定程度模拟人脑,但是随着深度的加深,会出现梯度消失问题,阻碍了模型的收敛。Deep Residual Learning for Image Recognition一文给出了一种避免梯度消失的网络模型-深度残差网络,对深度学习的发展至关重要。
2019-04-15 上传大小:282KB
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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

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Deep Residual Learning for Image Recognition.pdf

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