MATLAB: I want to train a network and save the weights. Then use a new data set and resume training with the weights from the previous data set.

initialize weights

It seems train always randomizes the weights when called. I can't seem to maintain the weights from the first training set.

Best Answer

You can continue the training from weights obtained by previous data set by extracting the layers from the network's "Layers" property, and then passing it to "trainNetwork", as follows:
if true
  % Train a network
  net = trainNetwork(XTrain, YTrain, layers, options);
  % Extract layers from the trained network
  newLayers = net.Layers;
  % Retrain the network, but start from where we left off
  newNet = trainNetwork(XTrain, YTrain, newLayers, options);
'trainNetwork' will always use the weights that are stored in the layers which you pass in for training.
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