Class: DNN::Optimizers::AdaGrad
- Inherits:
-
Object
- Object
- DNN::Optimizers::AdaGrad
- Defined in:
- lib/dnn/core/optimizers.rb
Class Method Summary collapse
Instance Method Summary collapse
-
#initialize(learning_rate = 0.01) ⇒ AdaGrad
constructor
A new instance of AdaGrad.
- #update(layer) ⇒ Object
Constructor Details
#initialize(learning_rate = 0.01) ⇒ AdaGrad
Returns a new instance of AdaGrad.
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# File 'lib/dnn/core/optimizers.rb', line 62 def initialize(learning_rate = 0.01) super(learning_rate) @g = {} end |
Class Method Details
.load_hash(hash) ⇒ Object
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# File 'lib/dnn/core/optimizers.rb', line 67 def self.load_hash(hash) @learning_rate = hash[:learning_rate] end |
Instance Method Details
#update(layer) ⇒ Object
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# File 'lib/dnn/core/optimizers.rb', line 71 def update(layer) @g[layer] ||= {} layer.params.each_key do |key| @g[layer][key] ||= 0 @g[layer][key] += layer.grads[key]**2 layer.params[key] -= (@learning_rate / NMath.sqrt(@g[layer][key] + 1e-7)) * layer.grads[key] end end |