Sha256: 6a1e683429757a72c0de50698a2082f0d89d40526633232426c9e427eb33af73
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Size: 689 Bytes
Versions: 6
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Stored size: 689 Bytes
Contents
module DNN
module Util
#Create a mini batch for batch size.
def self.get_minibatch(x, y, batch_size)
indexes = (0...x.shape[0]).to_a.sample(batch_size)
[x[indexes, false], y[indexes, false]]
end
#Categorize labels into "num_classes" classes.
def self.to_categorical(y, num_classes, narray_type = nil)
narray_type ||= y.class
y2 = narray_type.zeros(y.shape[0], num_classes)
y.shape[0].times do |i|
y2[i, y[i]] = 1
end
y2
end
#Perform numerical differentiation on "forward" of "layer".
def self.numerical_grad(x, func)
(func.(x + 1e-7) - func.(x)) / 1e-7
end
end
end
Version data entries
6 entries across 6 versions & 1 rubygems