清空筛选条件
清空筛选条件

Recreating MATLAB RegressionLayer as custom RegressionLayer?

2 次查看（过去 30 天）
Jake
Jake 2018-10-9
MATLAB Documentation (https://www.mathworks.com/help/deeplearning/ref/regressionlayer.html) says the regression layer using the half-mean-squared-error as the loss function in the regression layer. I'd like to replicate this layer myself, similar to the MAE loss function tutorial (https://www.mathworks.com/help/deeplearning/ug/define-custom-regression-output-layer.html), so that I can ultimately start tweaking it. For now though, I just want to replicate it exactly.
I think the correct (GPU implemented) loss function in the fowardLoss layer would be as follows:
R = size(Y,3); MSE = sum((Y-T).*(Y-T),3)/(R*2); N = size(Y,4); loss = sum(MSE)/N;
However, I'm not sure about the backwardLoss implementation. My best guess would be:
R = size(Y,3); N = size(Y,4); dLdY = (Y-T)/(N*R);
Is this correct?

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息

标签

产品


版本

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by