TastyPancakes/Flux.jl
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Make Flux.onehot accessible in the MNIST example

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Alternatively, line 4 could be rewritten to

data = [(trainfeatures(i), Flux.onehot(trainlabel(i), 0:9)) for i = 1:60_000]
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Peter Dolan 2017-06-23 16:57:08 -07:00 committed by GitHub
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examples/MNIST.jl
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@ -1,5 +1,5 @@
using Flux, MNIST
using Flux: accuracy
using Flux: accuracy, onehot
data = [(trainfeatures(i), onehot(trainlabel(i), 0:9)) for i = 1:60_000]
train = data[1:50_000]