How to use a customized Loss function in a Shallow neural network

38 次查看（过去 30 天）

显示更早的评论

Fabrizio Bernardi 2020-8-20

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/582323-how-to-use-a-customized-loss-function-in-a-shallow-neural-network

回答： Srivardhan Gadila 2020-8-23

Hello everyone. There are very useful functions like trainlm and traingd to train a NN, but they all use MSE loss function as default. How can I change that with a function MyLossFunction that I build?

I searched a bit but I am finding basically solution to program all network, when the command train was very quicker. And even if I have to do step by step, I found how to build a network, do the forward propagation, create my Loss function, but I miss the backpropagation part.

Thank you for the attention

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Srivardhan Gadila 2020-8-23

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/582323-how-to-use-a-customized-loss-function-in-a-shallow-neural-network#answer_483893

In case of Shallow Neural Networks you can refer to Custom Performance Function for Neural Networks Toolbox using +mse package & relevant MATLAB Answers.

If deep neural networks would help for your use case then you can refer to Define Custom Training Loops, Loss Functions, and Networks & Train Network Using Custom Training Loop

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

类别

AI and Statistics Deep Learning Toolbox

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

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

Translated by