Flux.jl/src/optimise/train.jl
2017-08-31 14:55:23 -04:00

14 lines
237 B
Julia

using Flux.Tracker: back!
function train!(m, data, opt; epoch = 1)
for e in 1:epoch
epoch > 1 && info("Epoch $e")
for (x, y) in data
loss = m(x, y)
@show loss
back!(loss)
update!(opt)
end
end
end