Flux.jl/examples/batching.jl
2016-11-03 15:11:59 +00:00

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using Flux
# Traditional Approach
# 100 samples of sequences of 15 28×28 3-colour images
rand(100, 15, 28, 28, 3)
# Basic Batching
data = Batch([collect(reshape(9(i-1):9i-1, 3, 3)) for i = 1:10])
Batch(flatten.(data))
data |> structure
Batch(flatten.(data)) |> structure
# Nested Batching
# DNA seqence, encoded as a list of [A, T, G, C]
x1 = Seq([[0,1,0,0], [1,0,0,0], [0,0,0,1]])
x2 = Seq([[0,0,1,0], [0,0,0,1], [0,0,1,0]])
data = Batch([x1, x2])
data |> structure