Computation of the gradient of the loss functionNiels Richard Hansen
线性回归(Linear Regression)、损失函数(Loss Function)、最小均方算法(LMS)、梯度下降(Gradient Descent) http://www.cnblogs.com/BYRans/p/4700202.html 实例 首先举个例子,假设我们有一个二手房交易记录的数据集,已知房屋面积、卧室数量和房屋的交易价格,如下表: 假如有一个房子要卖,我们希望通过上表中的数据...
grad= gradient(fcnAppx,lossFcn,inData,fcnData)evaluates the gradient of a loss function associated to the function handlelossFcn, with respect to the parameters offcnAppx. The last optional argumentfcnDatacan contain additional inputs for the loss function. Examples collapse all Calculate Gradients ...
那么则可以用loss function关于各参数的偏导数来获得梯度的数学形式(例如函数−x2的导数为−2x),并代入input得到在当前该次迭代下的梯度数值;如果不是,则只能用导数的原始定义df(x)dx=limΔx→0f(x+Δx)−f(x)Δx来求出当前点的导数从而求得梯度数值。
1 Loss Function ctc loss定义为ground truth标签序列的概率的负对数。上式表示的样本集的loss,是对每个样本的loss求和得到。 因为这个loss函数是可导的,所以loss对网络权重的梯度是可以通过反向传播算法得到的。 样本集的loss对网络权重的梯度是单个样本的梯度和。
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The final output is obtained by weighting multiple decision trees and decreasing the gradient of the loss function. XGBoost provides a variety of hyper-parameters for different settings. This study used grid search and five-fold cross-validation to identify optimal hyper-parameters. The training set...
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whereγis a tunable parameter that affects the shape of the loss function. For high values ofγ, the contribution of well classified samples to the overall loss approaches 0, allowing the gradient to focus more on the minority class. Ifγis set to 0, the focal loss coincides with the stan...
The error rate of the model can now be used to calculate the gradient, which is essentially the partial derivative of the loss function. The gradient is used to find the direction that the model parameters would have to change to reduce the error in the next round of training. As opposed...