Is it possible to combine two different classes in a trained network?

11 次查看（过去 30 天）
Kelvin Kuang
Kelvin Kuang 2023-4-6
评论： Kelvin Kuang 2023-4-11
I currently have 4 different classification classes, and I was wondering if it is possible to combine two classes into one class. For example, if I have 4 classes a, b, c, and d, if the neural network classifies an image as class a or b, the output would be 1 class, or if the network classifies it as class c or d, the output would be another class.

请先登录，再回答此问题。

回答（1 个）

Nihal Reddy
Nihal Reddy 2023-4-10
I understand you want to combine two different classes to one single class when classifying an image using the nerual network.
You can do this in preprocessing step before training the network. You can combine the two classes a and b in the dataset itself and give x as the name of the new class and combine the two classes c and d in the dataset itself and give y as the name of the new class. This will help in training the neural network based on the new combined classes you have created and get the desired classification from the neural network.
Another approach would be to add a postprocessing step after the neural network classifies the image and based on the classifcation you can conditionally output the new combined class as the output.
Refer to the following for creating simple image classification network-
https://www.mathworks.com/help/deeplearning/gs/create-simple-deep-learning-classification-network.html
  1 个评论
Kelvin Kuang
Kelvin Kuang 2023-4-11
If I were to do the postprocessing apporoach, would the feature maps generated by the network reflect the changes, or would they still be similar to before the changes?

请先登录，再进行评论。

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