Class: NeuralNetworkRb::Loss::SoftmaxCrossEntropy
- Inherits:
-
Object
- Object
- NeuralNetworkRb::Loss::SoftmaxCrossEntropy
- Defined in:
- lib/neural_network_rb/loss/softmax_cross_entropy.rb
Instance Method Summary collapse
- #call(input, target) ⇒ Object
-
#initialize(next_layer, options = {}) ⇒ SoftmaxCrossEntropy
constructor
A new instance of SoftmaxCrossEntropy.
- #predict(input) ⇒ Object
- #train(input, target) ⇒ Object
Constructor Details
#initialize(next_layer, options = {}) ⇒ SoftmaxCrossEntropy
Returns a new instance of SoftmaxCrossEntropy.
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# File 'lib/neural_network_rb/loss/softmax_cross_entropy.rb', line 5 def initialize(next_layer, = {}) @next_layer = next_layer end |
Instance Method Details
#call(input, target) ⇒ Object
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# File 'lib/neural_network_rb/loss/softmax_cross_entropy.rb', line 18 def call(input, target) error = cross_entropy(softmax(input), target) grad(input, target) if target end |
#predict(input) ⇒ Object
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# File 'lib/neural_network_rb/loss/softmax_cross_entropy.rb', line 14 def predict(input) @next_layer.predict(softmax(input)) end |
#train(input, target) ⇒ Object
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# File 'lib/neural_network_rb/loss/softmax_cross_entropy.rb', line 9 def train(input, target) output = softmax(input) grad(output, target) * @next_layer.train(output, target) end |