Class: DNN::Optimizers::RMSPropGraves

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

Instance Attribute Summary collapse

Attributes inherited from Optimizer

#clip_norm

Instance Method Summary collapse

Methods inherited from Optimizer

from_hash, #update, #update_layers

Constructor Details

#initialize(lr: 0.0001, alpha: 0.95, eps: 0.0001, clip_norm: nil) ⇒ RMSPropGraves

Returns a new instance of RMSPropGraves.

Parameters:

  • lr (Float) (defaults to: 0.0001) —

    Learning rate.

  • alpha (Float) (defaults to: 0.95) —

    Moving average index of past slopes.

  • eps (Float) (defaults to: 0.0001) —

    Value to avoid division by zero.



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# File 'lib/dnn/core/optimizers.rb', line 218

def initialize(lr: 0.0001, alpha: 0.95, eps: 0.0001, clip_norm: nil)
  super(clip_norm: clip_norm)
  @lr = lr
  @alpha = alpha
  @eps = eps
  @m = {}
  @v = {}
end

Instance Attribute Details

#alpha ⇒ Object

Returns the value of attribute alpha.



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# File 'lib/dnn/core/optimizers.rb', line 212

def alpha
  @alpha
end

#eps ⇒ Object

Returns the value of attribute eps.



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# File 'lib/dnn/core/optimizers.rb', line 213

def eps
  @eps
end

#lr ⇒ Object

Returns the value of attribute lr.



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# File 'lib/dnn/core/optimizers.rb', line 211

def lr
  @lr
end

Instance Method Details

#load_hash(hash) ⇒ Object 



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# File 'lib/dnn/core/optimizers.rb', line 241

def load_hash(hash)
  initialize(lr: hash[:lr], alpha: hash[:alpha], eps: hash[:eps], clip_norm: hash[:clip_norm])
end

#to_hash ⇒ Object 



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# File 'lib/dnn/core/optimizers.rb', line 227

def to_hash
  super(lr: @lr, alpha: @alpha, eps: @eps)
end