Class: DNN::Initializers::RandomNormal

Inherits:
Initializer show all
Defined in:
lib/dnn/core/initializers.rb

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(mean = 0, std = 0.05, seed = true) ⇒ RandomNormal

Returns a new instance of RandomNormal.



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# File 'lib/dnn/core/initializers.rb', line 58

def initialize(mean = 0, std = 0.05, seed = true)
  super(seed)
  @mean = mean
  @std = std
end

Instance Attribute Details

#mean ⇒ Object (readonly)

Returns the value of attribute mean.



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# File 'lib/dnn/core/initializers.rb', line 51

def mean
  @mean
end

#std ⇒ Object (readonly)

Returns the value of attribute std.



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# File 'lib/dnn/core/initializers.rb', line 52

def std
  @std
end

Class Method Details

.load_hash(hash) ⇒ Object 



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# File 'lib/dnn/core/initializers.rb', line 54

def self.load_hash(hash)
  self.new(hash[:mean], hash[:std], hash[:seed])
end

Instance Method Details

#init_param(layer, param) ⇒ Object 



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# File 'lib/dnn/core/initializers.rb', line 64

def init_param(layer, param)
  Xumo::SFloat.srand(@seed)
  param.data = param.data.rand_norm(@mean, @std)
end

#to_hash ⇒ Object 



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# File 'lib/dnn/core/initializers.rb', line 69

def to_hash
  super({mean: @mean, std: @std})
end