Class: DNN::Regularizers::L1L2
- Inherits:
-
Regularizer
- Object
- Regularizer
- DNN::Regularizers::L1L2
- Defined in:
- lib/dnn/core/regularizers.rb
Instance Attribute Summary collapse
-
#l1_lambda ⇒ Object
Returns the value of attribute l1_lambda.
-
#l2_lambda ⇒ Object
Returns the value of attribute l2_lambda.
Attributes inherited from Regularizer
Instance Method Summary collapse
- #backward ⇒ Object
- #forward(x) ⇒ Object
-
#initialize(l1_lambda = 0.01, l2_lambda = 0.01) ⇒ L1L2
constructor
A new instance of L1L2.
- #load_hash(hash) ⇒ Object
- #to_hash ⇒ Object
Methods inherited from Regularizer
Constructor Details
#initialize(l1_lambda = 0.01, l2_lambda = 0.01) ⇒ L1L2
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# File 'lib/dnn/core/regularizers.rb', line 93 def initialize(l1_lambda = 0.01, l2_lambda = 0.01) @l1_lambda = l1_lambda @l2_lambda = l2_lambda end |
Instance Attribute Details
#l1_lambda ⇒ Object
Returns the value of attribute l1_lambda.
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# File 'lib/dnn/core/regularizers.rb', line 88 def l1_lambda @l1_lambda end |
#l2_lambda ⇒ Object
Returns the value of attribute l2_lambda.
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# File 'lib/dnn/core/regularizers.rb', line 89 def l2_lambda @l2_lambda end |
Instance Method Details
#backward ⇒ Object
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# File 'lib/dnn/core/regularizers.rb', line 104 def backward dparam = Xumo::SFloat.ones(*@param.data.shape) dparam[@param.data < 0] = -1 @param.grad += @l1_lambda * dparam @param.grad += @l2_lambda * @param.data end |
#forward(x) ⇒ Object
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# File 'lib/dnn/core/regularizers.rb', line 98 def forward(x) l1 = @l1_lambda * @param.data.abs.sum l2 = 0.5 * @l2_lambda * (@param.data**2).sum x + l1 + l2 end |
#load_hash(hash) ⇒ Object
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# File 'lib/dnn/core/regularizers.rb', line 115 def load_hash(hash) initialize(hash[:l1_lambda], hash[:l2_lambda]) end |
#to_hash ⇒ Object
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# File 'lib/dnn/core/regularizers.rb', line 111 def to_hash super(l1_lambda: l1_lambda, l2_lambda: l2_lambda) end |