Class: Ai::Neat::Layer
- Inherits:
-
Object
- Object
- Ai::Neat::Layer
- Defined in:
- lib/ai/neat/layer.rb
Instance Attribute Summary collapse
-
#activationfunc ⇒ Object
Returns the value of attribute activationfunc.
-
#bias ⇒ Object
Returns the value of attribute bias.
-
#node_type ⇒ Object
Returns the value of attribute node_type.
-
#nodes ⇒ Object
Returns the value of attribute nodes.
Instance Method Summary collapse
- #connect(count) ⇒ Object
- #feed_forward(layer) ⇒ Object
-
#initialize(node_count, node_type, activationfunc) ⇒ Layer
constructor
A new instance of Layer.
- #values ⇒ Object
- #values=(values) ⇒ Object
Constructor Details
#initialize(node_count, node_type, activationfunc) ⇒ Layer
Returns a new instance of Layer.
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# File 'lib/ai/neat/layer.rb', line 8 def initialize(node_count, node_type, activationfunc) @nodes = [] @bias = nil @node_type = node_type @activationfunc = activationfunc (1..node_count).each do |_i| @nodes.push(Node.new) end @bias = Node.new if @node_type != :output end |
Instance Attribute Details
#activationfunc ⇒ Object
Returns the value of attribute activationfunc.
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# File 'lib/ai/neat/layer.rb', line 6 def activationfunc @activationfunc end |
#bias ⇒ Object
Returns the value of attribute bias.
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# File 'lib/ai/neat/layer.rb', line 6 def bias @bias end |
#node_type ⇒ Object
Returns the value of attribute node_type.
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# File 'lib/ai/neat/layer.rb', line 6 def node_type @node_type end |
#nodes ⇒ Object
Returns the value of attribute nodes.
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# File 'lib/ai/neat/layer.rb', line 6 def nodes @nodes end |
Instance Method Details
#connect(count) ⇒ Object
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# File 'lib/ai/neat/layer.rb', line 21 def connect(count) @nodes.each do |node| node.initWeights(count) end @bias&.initWeights(count) end |
#feed_forward(layer) ⇒ Object
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# File 'lib/ai/neat/layer.rb', line 29 def feed_forward(layer) (0..(@bias.weights.count - 1)).each do |i| layer.nodes[i].value = 0 end @nodes.each do |node| (0..(node.weights.count - 1)).each do |w| layer.nodes[w].value += node.value * node.weights[w] end end (0..(@bias.weights.count - 1)).each do |w| layer.nodes[w].value += @bias.weights[w] end if layer.activationfunc != :softmax layer.nodes.each do |node| node.value = Ai::Neat.activationfunc(layer.activationfunc, node.value) end else layer.values = Ai::Neat.activationfunc(layer.activationfunc, layer.values) end end |
#values ⇒ Object
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# File 'lib/ai/neat/layer.rb', line 53 def values result = [] @nodes.each do |node| result.push(node.value) end result end |
#values=(values) ⇒ Object
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# File 'lib/ai/neat/layer.rb', line 63 def values=(values) (0..(@nodes.count - 1)).each do |i| @nodes[i].value = values[i] end end |