Class: DNN::Layers::SimpleRNN_Dense
- Inherits:
-
Object
- Object
- DNN::Layers::SimpleRNN_Dense
- Defined in:
- lib/dnn/core/rnn_layers.rb
Instance Method Summary collapse
- #backward(dh2) ⇒ Object
- #forward(x, h) ⇒ Object
-
#initialize(rnn) ⇒ SimpleRNN_Dense
constructor
A new instance of SimpleRNN_Dense.
Constructor Details
#initialize(rnn) ⇒ SimpleRNN_Dense
Returns a new instance of SimpleRNN_Dense.
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# File 'lib/dnn/core/rnn_layers.rb', line 126 def initialize(rnn) @rnn = rnn @activation = rnn.activation.clone end |
Instance Method Details
#backward(dh2) ⇒ Object
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# File 'lib/dnn/core/rnn_layers.rb', line 138 def backward(dh2) dh2 = @activation.backward(dh2) @rnn.weight.grad += @x.transpose.dot(dh2) @rnn.weight2.grad += @h.transpose.dot(dh2) if @rnn.l1_lambda > 0 @rnn.weight.grad += dlasso @rnn.weight2.grad += dlasso2 elsif @rnn.l2_lambda > 0 @rnn.weight.grad += dridge @rnn.weight2.grad += dridge2 end @rnn.bias.grad += dh2.sum(0) dx = dh2.dot(@rnn.weight.data.transpose) dh = dh2.dot(@rnn.weight2.data.transpose) [dx, dh] end |
#forward(x, h) ⇒ Object
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# File 'lib/dnn/core/rnn_layers.rb', line 131 def forward(x, h) @x = x @h = h h2 = x.dot(@rnn.weight.data) + h.dot(@rnn.weight2.data) + @rnn.bias.data @activation.forward(h2) end |