optimiser state
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@ -108,3 +108,11 @@ revert to an older copy of the model if it starts to overfit.
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```julia
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```julia
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@save "model-$(now()).bson" model loss = testloss()
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@save "model-$(now()).bson" model loss = testloss()
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```
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```
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You can even store optimiser state alongside the model, to resume training
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exactly where you left off.
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```julia
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opt = ADAM(params(model))
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@save "model-$(now()).bson" model opt
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```
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