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  1. # little specs
  2. require_relative '../backpropogation.rb'
  3.  
  4. describe 'Function testing' do
  5.   it "should return correct weights" do
  6.     structure = [2,3,1]
  7.     nn = NeuralNetwork.new structure
  8.  
  9.     # should print [ [ [1, 2, 3], [1, 2, 3] ], [ [1], [2], [3] ] ]
  10.     nn.weights[0].count.should == 2
  11.     nn.weights[1].count.should == 3
  12.     nn.weights[0][0].count.should == 3
  13.     nn.weights[0][1].count.should == 3
  14.     nn.weights[1][0].count.should == 1
  15.     nn.weights[1][1].count.should == 1
  16.     nn.weights[1][2].count.should == 1
  17.  
  18.     structure = [3, 5, 2, 3]
  19.     #should print [ [ [1, 2, 3, 4, 5], [1,2,3,4,5], [1,2,3,4,5] ], [ [1,2], [1,2], [1,2], [1,2], [1,2] ], [ [1,2,3], [1,2,3] ] ]
  20.     nn = NeuralNetwork.new structure
  21.     nn.weights[0].count.should == 3
  22.     nn.weights[1].count.should == 5
  23.     nn.weights[2].count.should == 2
  24.     nn.weights[0][0].count.should == 5
  25.     nn.weights[0][1].count.should == 5
  26.     nn.weights[0][2].count.should == 5
  27.     nn.weights[1][0].count.should == 2
  28.     nn.weights[1][1].count.should == 2
  29.     nn.weights[2][1].count.should == 3
  30.  
  31.   end
  32.  
  33.   it "should correct calculate outputs" do
  34.     structure = [2, 3, 2, 1]
  35.     nn = NeuralNetwork.new structure
  36.  
  37.     input = [1,2]
  38.     nn.evaluate( input )
  39.     nn.outputs[0].count.should == 3
  40.     nn.outputs[1].count.should == 2
  41.     nn.outputs[2].count.should == 1
  42.   end
  43.  
  44.   it "should correct calculate deltas" do
  45.     structure = [2, 3, 2, 1]
  46.     nn = NeuralNetwork.new structure
  47.  
  48.     input = [1,2]
  49.     right = [0.5]
  50.     nn.train( input, right )
  51.   end
  52.  
  53.   it "should correct update weights" do
  54.   end
  55. end
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