What is the data "YTrain" in the Matlab CNN Regression example?

emminath asked: 2021-04-13 deep learning , matlab , simulink , cnn , regression, matlab example , responses , ai

Unsure about the ytrain data in MATLABs CNN regression example? This resource clarifies its role, structure, and purpose, helping you build better CNN mod...

Expert Answer

Kshitij Singh answered . 2025-06-30 16:13:16

As you have mentioned already, the images in the subfolders (0-9) contain the Input images of both Training (XTrain) and Validation (XValidation) images, similarly the Excel sheet contains the Response/Target data which the network is supposed to predict. The functions digitTrain4DArrayData and digitTest4DArrayData returns the images and their corresponding rotated angles as X and Y data respectively. Then XTrain and YTrain are used to train the network. During training phase the network performs forward pass on the XTrain data and the network produces some response data, then the loss is computed between the predicted response and YTrain followed by gradients, backward pass etc. Whereas XValidation and YValidation are used to validate the network while training and after the trianing is completed.

In order to train your own network with the same dataset then you can directly use the existing dataset by referring to the Load Data section of the example. If you have to train your own network on different images other than what is used in the example then, yes you have to generate the corresponding Y data (YTrain and YValidation) accordingly.

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