Fitnet: Can we forbid the normalization pre processing ?

5 次查看（过去 30 天）
MaHa
MaHa 2021-6-2
回答： Steven Lord 2021-6-2
Hello,
I would like to know if there is a possibility to avoid the pre processing included inside fitnet, rescaling the data between -1 and 1.
I want to feed it with my own scales/normalization method, is it possible ?

请先登录，再回答此问题。

采纳的回答

Steven Lord
Steven Lord 2021-6-2
Ran in:
net = fitnet(10);
net.inputs{1}
ans =
Neural Network Input name: 'Input' feedbackOutput: [] processFcns: {'removeconstantrows', 'mapminmax'} processParams: {1x2 cell array of 2 params} processSettings: {1x2 cell array of 2 settings} processedRange: [] processedSize: 0 range: [] size: 0 userdata: (your custom info)
You want to modify the processFcns property of the net.inputs{1} object. See this documentation page for more information about the properties of that Neural Network Input object.

更多回答（0 个）

类别

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!

Start Hunting!

Translated by