Prediction gradients for feature extraction and analysis from convolutional neural networks Prediction gradients for feature extraction and analysis from convolutional neural networks
Paper summary The prediction gradient is just $\frac{\partial \mathbf{y}}{\partial w}$ where $\mathbf{y}$ is the output before the loss function.
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Prediction gradients for feature extraction and analysis from convolutional neural networks
Lo, Henry Z. and Cohen, Joseph Paul and Ding, Wei
Conference on Automatic Face and Gesture Recognition - 2015 via Bibsonomy
Keywords: dblp


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