how to merge two networks trained on different dataset ?
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Hi
I am trainning LSTM network for time series prediction.
My training data size is 160 and number of channels are 19.
Training this data on single machine takes a lot of time. Therefore, divided the data set to train on different machine.
This way I can optimize training hyperparameters quickly rather than waiting for long time.
My question is: when I train LSTM network on different machines with different data set. Is there a way to merge these trained network.
If not, what is the ideal method to optimize the training time and process.
-Chetan
3 Comments
Hiro Yoshino
on 29 Feb 2024
NN is just a big chunk of network parameters where linear and non-linear calculations take place. So if you want to, you can add the value together and devid it by the number of models but I wonder if this "network" works as you expect.
This is an example how to read the parameter values:
net.Layers(2).Bias
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