Flux.jl/examples/MNIST.jl
2016-09-06 18:37:30 +01:00

19 lines
346 B
Julia

using Flux, MNIST
@time begin
data = [(trainfeatures(i), onehot(trainlabel(i), 0:9)) for i = 1:60_000]
train = data[1:50_000]
test = data[50_001:60_000]
nothing
end
m = Chain(
Input(784),
Dense(128), relu,
Dense( 64), relu,
Dense( 10), softmax)
model = mxnet(m, 784)
@time Flux.train!(model, train, test, epoch = 1, η=0.001)