Class: DNN::Optimizers::RMSProp

Inherits:
Optimizer show all
Defined in:
lib/dnn/core/optimizers.rb

Instance Attribute Summary collapse

Attributes inherited from Optimizer

#learning_rate

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(learning_rate = 0.001, alpha: 0.9) ⇒ RMSProp

Returns a new instance of RMSProp.



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# File 'lib/dnn/core/optimizers.rb', line 104

def initialize(learning_rate = 0.001, alpha: 0.9)
  super(learning_rate)
  @alpha = alpha
  @g = {}
end

Instance Attribute Details

#alpha ⇒ Object

Returns the value of attribute alpha.



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# File 'lib/dnn/core/optimizers.rb', line 98

def alpha
  @alpha
end

Class Method Details

.load_hash(hash) ⇒ Object 



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# File 'lib/dnn/core/optimizers.rb', line 100

def self.load_hash(hash)
  self.new(hash[:learning_rate], alpha: hash[:alpha])
end

Instance Method Details

#to_hash ⇒ Object 



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# File 'lib/dnn/core/optimizers.rb', line 119

def to_hash
  super({alpha: @alpha})
end

#update(layer) ⇒ Object 



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# File 'lib/dnn/core/optimizers.rb', line 110

def update(layer)
  @g[layer] ||= {}
  layer.params.each_key do |key|
    @g[layer][key] ||= 0
    @g[layer][key] = @alpha * @g[layer][key] + (1 - @alpha) * layer.grads[key]**2
    layer.params[key] -= (@learning_rate / Xumo::NMath.sqrt(@g[layer][key] + 1e-7)) * layer.grads[key]
  end
end