2016-10-28 23:12:53 +00:00
|
|
|
|
using Flux
|
|
|
|
|
|
|
|
|
|
|
|
# Traditional Approach
|
|
|
|
|
|
|
2016-11-03 15:11:59 +00:00
|
|
|
|
# 100 samples of sequences of 15 28×28 3-colour images
|
|
|
|
|
|
rand(100, 15, 28, 28, 3)
|
2016-10-28 23:12:53 +00:00
|
|
|
|
|
|
|
|
|
|
# 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
|
