Class: NeuralNetwork::Layer
- Inherits:
-
Object
- Object
- NeuralNetwork::Layer
- Defined in:
- lib/neural_network/layer.rb
Instance Attribute Summary collapse
-
#neurons ⇒ Object
Returns the value of attribute neurons.
Instance Method Summary collapse
- #activate(values = nil) ⇒ Object
- #connect(target_layer) ⇒ Object
-
#initialize(size) ⇒ Layer
constructor
A new instance of Layer.
- #train(target_outputs = []) ⇒ Object
Constructor Details
#initialize(size) ⇒ Layer
Returns a new instance of Layer.
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# File 'lib/neural_network/layer.rb', line 5 def initialize(size) @neurons = Array.new(size) { Neuron.new } end |
Instance Attribute Details
#neurons ⇒ Object
Returns the value of attribute neurons.
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# File 'lib/neural_network/layer.rb', line 3 def neurons @neurons end |
Instance Method Details
#activate(values = nil) ⇒ Object
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# File 'lib/neural_network/layer.rb', line 21 def activate(values = nil) values = Array(values) # coerce it to an array if nil @neurons.each_with_index do |neuron, index| neuron.activate(values[index]) end # optional: return mapping of neuron outputs @neurons.map { |n| n.output } end |
#connect(target_layer) ⇒ Object
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# File 'lib/neural_network/layer.rb', line 9 def connect(target_layer) unless @neurons.any? {|neuron| neuron.bias? } @neurons << NeuralNetwork::BiasNeuron.new end @neurons.each do |source_neuron| target_layer.neurons.each do |target_neuron| source_neuron.connect(target_neuron) end end end |
#train(target_outputs = []) ⇒ Object
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# File 'lib/neural_network/layer.rb', line 33 def train(target_outputs = []) @neurons.each_with_index do |neuron, index| neuron.train(target_outputs[index]) end end |