Getting started

Let's look at a simple training example. In FluxTraining.jl, a Learner holds all state necessary for training. To get started, you need

• a model

• training and validation data iterators

• a loss function; and

• an optimizer

First we define the necessary pieces:

			
			model = ...
traindata, valdata = ...
lossfn = Flux.Losses.mse
opt = Flux.ADAM(0.01)

Then we construct a Learner:

			
			
			
			learner
			 
			=
			 
			

	
			Learner
			(
			model
			,
			 
			lossfn
			
			;
			 
			
			data
			=
			
			(
			traindata
			,
			 
			valdata
			)
			)

And train for 10 epochs:

			
			
			

	
			fit!
			(
			learner
			,
			 
			10
			)