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NXML - Introducing an XML Based Language To Perform Neural Network Processing, Image Analysis, Pattern Detection Etc

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21 Oct 2009CPOL17 min read 84.3K   1.1K   95  
Do some Brain Tumor detection using neural networks, in a very simple and easy manner. An XML based language we developed, to help you create, train and run your own model driven neural networks
<?xml version="1.0" encoding="utf-8"?>
<Network xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://tempuri.org/Network.xsd">
  <Layer Name="Layer0">
    <Neuron Name="L0N0">
      <Bias>0.5936511754989624</Bias>
      <Output>1</Output>
      <Delta>0</Delta>
    </Neuron>
    <Neuron Name="L0N1">
      <Bias>0.4279320240020752</Bias>
      <Output>1</Output>
      <Delta>0</Delta>
    </Neuron>
  </Layer>
  <Layer Name="Layer1">
    <Neuron Name="L1N0">
      <Bias>-3.198430061340332</Bias>
      <Output>0.0273407194763422</Output>
      <Delta>1.3713348607780063E-06</Delta>
      <Connections>
        <Input Layer="0" Neuron="0" Weight="-6.2410283088684082" />
        <Input Layer="0" Neuron="1" Weight="5.8678021430969238" />
      </Connections>
    </Neuron>
    <Neuron Name="L1N1">
      <Bias>2.46018123626709</Bias>
      <Output>0.93027245998382568</Output>
      <Delta>-0.0011892688926309347</Delta>
      <Connections>
        <Input Layer="0" Neuron="0" Weight="-4.9501729011535645" />
        <Input Layer="0" Neuron="1" Weight="5.0808734893798828" />
      </Connections>
    </Neuron>
  </Layer>
  <Layer Name="Layer2">
    <Neuron Name="L2N0">
      <Bias>-3.5680243968963623</Bias>
      <Output>0.96445775032043457</Output>
      <Delta>-0.00220716861076653</Delta>
      <Connections>
        <Input Layer="1" Neuron="0" Weight="-7.8141608238220215" />
        <Input Layer="1" Neuron="1" Weight="7.6133756637573242" />
      </Connections>
    </Neuron>
  </Layer>
</Network>

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Architect
India India
Architect, Developer, Speaker | Wannabe GUT inventor & Data Scientist | Microsoft MVP in C#

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