From what the documentation says about NetTrain
and NetInitialize
and what the progress indicator shows when reevaluating examples from the Documentation it looks like NetTrain
always calls NetInitialize
.
The Properties & Relations section of NetInitialize
states
NetTrain will automatically call NetInitialize before training begins. The weights and biases of a simple layer are initialized before training
Can someone confirm this behavior and if so offer a workaround? It would be really useful to be able to train networks in stages for instance for pre-training a network on some readily available (similar) data or for playing around with Complementary Reinforcement Backpropagation.