I am writing a Convolutional Neural Network for regression in MATLAB R2021b. I’m using the trainNetwork function in Deep Learning Toolbox and in options I have ‘Plots’,’training-progress’.
I have understood that in the Training Progress, for each iteration, I have the MSE value computed on the mini-batch.
I wuold like to know whether I can plot in the training progress the MSE value on the overall Training Set and Validation Set respectively and not on the mini-batch.
Thanks in advance.I am writing a Convolutional Neural Network for regression in MATLAB R2021b. I’m using the trainNetwork function in Deep Learning Toolbox and in options I have ‘Plots’,’training-progress’.
I have understood that in the Training Progress, for each iteration, I have the MSE value computed on the mini-batch.
I wuold like to know whether I can plot in the training progress the MSE value on the overall Training Set and Validation Set respectively and not on the mini-batch.
Thanks in advance. I am writing a Convolutional Neural Network for regression in MATLAB R2021b. I’m using the trainNetwork function in Deep Learning Toolbox and in options I have ‘Plots’,’training-progress’.
I have understood that in the Training Progress, for each iteration, I have the MSE value computed on the mini-batch.
I wuold like to know whether I can plot in the training progress the MSE value on the overall Training Set and Validation Set respectively and not on the mini-batch.
Thanks in advance. training progress, trainnetwork MATLAB Answers — New Questions

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