Class: Brainz::Layer

Inherits:
Object
  • Object
show all
Defined in:
lib/brainz/layer.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(size, network) ⇒ Layer

Returns a new instance of Layer.



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# File 'lib/brainz/layer.rb', line 6

def initialize(size, network)
  @network = network
  @neurons = Array.new(size) { Neuron.new(self) }
  @mse = 0
end

Instance Attribute Details

#mse ⇒ Object

Returns the value of attribute mse.



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# File 'lib/brainz/layer.rb', line 4

def mse
  @mse
end

#network ⇒ Object (readonly)

Returns the value of attribute network.



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# File 'lib/brainz/layer.rb', line 3

def network
  @network
end

#neurons ⇒ Object (readonly)

Returns the value of attribute neurons.



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# File 'lib/brainz/layer.rb', line 3

def neurons
  @neurons
end

#next_layer ⇒ Object (readonly)

Returns the value of attribute next_layer.



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# File 'lib/brainz/layer.rb', line 3

def next_layer
  @next_layer
end

#prev_layer ⇒ Object (readonly)

Returns the value of attribute prev_layer.



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# File 'lib/brainz/layer.rb', line 3

def prev_layer
  @prev_layer
end

Instance Method Details

#activate ⇒ Object 



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# File 'lib/brainz/layer.rb', line 44

def activate
  neurons.each(&:activate)
end

#adjust_weights ⇒ Object 



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# File 'lib/brainz/layer.rb', line 65

def adjust_weights
  neurons.each(&:adjust_weights)
  prev_layer.adjust_weights if prev_layer
end

#back_link(layer) ⇒ Object 



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# File 'lib/brainz/layer.rb', line 31

def back_link(layer)
  @prev_layer = layer
end

#calculate_deltas ⇒ Object 



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# File 'lib/brainz/layer.rb', line 48

def calculate_deltas
  if prev_layer
    neurons.each(&:calculate_delta)
    prev_layer.calculate_deltas
  end
end

#calculate_mse(targets) ⇒ Object 



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# File 'lib/brainz/layer.rb', line 70

def calculate_mse(targets)
  mse = 0
  neurons.each_with_index do |neuron, index|
    mse += 0.5 * (targets[index] - neuron.activation) ** 2
  end
  mse
end

#learning_rate ⇒ Object 



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# File 'lib/brainz/layer.rb', line 16

def learning_rate
  network.learning_rate
end

#link_to(layer) ⇒ Object 



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# File 'lib/brainz/layer.rb', line 20

def link_to(layer)
  @next_layer = layer
  neurons.each do |my_neuron|
    layer.neurons.each do |next_neuron|
      ::Brainz::Synapse.link(my_neuron, next_neuron)
    end
  end

  layer.back_link(self)
end

#momentum ⇒ Object 



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# File 'lib/brainz/layer.rb', line 12

def momentum
  network.momentum
end

#reset ⇒ Object 



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# File 'lib/brainz/layer.rb', line 55

def reset
  neurons.each(&:reset)
end

#update(*values) ⇒ Object 



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# File 'lib/brainz/layer.rb', line 59

def update(*values)
  values.each_with_index do |value, index|
    neurons[index].output = value
  end
end

#update_forward ⇒ Object 



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# File 'lib/brainz/layer.rb', line 35

def update_forward
  if next_layer
    next_layer.reset
    neurons.each(&:send_signals)
    next_layer.activate
    next_layer.update_forward
  end
end