常用loss: L1: 公式:L1=∑i=1n∣yi−f(xi)∣L1=\sum_{i=1}^{n}\left|y_{i}-f\left(x_{i}\right)\right|L1=i=1∑n∣yi−f(xi)∣ 导数:dL1(x)dx={1 if x≥0−1 otherwise \frac{\... 损失函数(loss function) ...
斯柯达胡小宝 常用loss损失函数介绍 损失函数(loss function)一般指单个训练样本预测值y'与真实值y之间的误差,单个 cost function一般指单个批次(batch)或者整个训练集样本与真实值之间的误差,整体 实际使用中,loss fun… 茶豚坞打开知乎App 在「我的页」右上角打开扫一扫 其他扫码方式:微信 下载知乎App 开通机...
To better simulate discrete features of real attacks and generate unknown types of attacks, we introduce an effective reconstruction loss term utilizing the logarithmic hyperbolic cosine (log-cosh) function in the LVAE. Compared to conventional VAEs, the LVAE shows promising potenti...
回归损失函数2 : HUber loss,Log Cosh Loss,以及 Quantile Loss,程序员大本营,技术文章内容聚合第一站。