How can I continue training a fitrnet network?

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AC Fain
AC Fain on 14 Oct 2021
Answered: Sahil Jain on 20 Oct 2021
I am training a regression neural network using Matlab's fitrnet function. I want to know whether there is a way to continue training a fitrnet network after it has completed? If I train a neural network using Matlab's trainNetwork function then to continue training all I need to do is use the previously trained network's layers as the layer argument (ex. trainNetwork(inputData, outputData, old_net.Layers, opts) ). Is there a way to do something similar with fitrnet? I find fitrnet works a lot better for my application that trainNetwork

Accepted Answer

Sahil Jain
Sahil Jain on 20 Oct 2021
As of R2021b, the "fitrnet" function does not support loading weights and biases before training. As a workaround, you can modify the training options for "trainNetwork" to achieve results similar to "fitrnet".

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