Clear Filters
Clear Filters

How can I continue training a fitrnet network?

10 views (last 30 days)
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".

More Answers (0)

Categories

Find more on Image Data Workflows in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!