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Thread: Is my Neural Network correct/good?

  1. #1
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    Question Is my Neural Network correct/good?

    Thats my first time coding a neural network and it seems to work but I'm not sure if everything is made correctly (The Neural Network not the code).
    I would be happy if someone could check the code for me and tell me if something doesn't make sense.

    here's the code:
    package NN;
     
    import java.util.Random;
     
    public class FFBackprop {
     
    	private double[] weightsH;
    	private double[] weightsO;
    	private double[] Hidden;
    	private double[] Output;
    	private double[] SumH;
    	private double[] SumO;
    	private double[] Input;
    	private double[] biasesH;
    	private double[] biasesO;
    	private double lr;
    	private final Random rnd;
     
    	public FFBackprop(int layerIN, int layerHID, int layerOUT, double learningRate) {
    		rnd = new Random();
    		weightsH = new double[layerIN*layerHID];
    		weightsO = new double[layerHID*layerOUT];
    		Hidden = new double[layerHID];
    		Output = new double[layerOUT];
    		SumH = new double[layerHID];
    		SumO = new double[layerOUT];
    		biasesH = new double[layerHID];
    		biasesO = new double[layerOUT];
    		lr = learningRate;
    		resetWeights();
    	}
     
    	public void resetWeights() {
    		for(int i = 0; i<weightsH.length; i++) {
    			weightsH[i] = rnd.nextDouble();
    		}
    		for(int i = 0; i<weightsO.length; i++) {
    			weightsO[i] = rnd.nextDouble();
    		}
    		for(int i = 0; i<biasesH.length; i++) {
    			biasesH[i] = rnd.nextDouble();
    		}
    		for(int i = 0; i<biasesO.length; i++) {
    			biasesO[i] = rnd.nextDouble();
    		}
    	}
     
    	private double Func(double x) {
    		return 1/(1+Math.exp(-x));
    	}
     
    	public double[] ff(double[] input) {
    		this.Input = input;
    		for(int i = 0; i<Hidden.length; i++) {
    			SumH[i]=biasesH[i];
    			for(int j = 0; j<input.length; j++) {
    				SumH[i] += weightsH[j+i*input.length]*input[j];
    			}
    			Hidden[i] = Func(SumH[i]);
    		}
    		for(int i = 0; i<Output.length; i++) {
    			SumO[i]=biasesO[i];
    			for(int j = 0; j<Hidden.length; j++) {
    				SumO[i] += weightsO[j+i*Hidden.length]*Hidden[j];
    			}
    			Output[i] = Func(SumO[i]);
    		}
    		return Output;
    	}
     
    	public void backprop(double[] t) {
    		double[] dWeightsO = new double[weightsO.length];
    		double[] partialErrorArr = new double[Output.length];
    		double[] partialOutputArr = new double[Output.length];
    		for(int i = 0; i<Output.length; i++) {
    			double partialError = Output[i]-t[i];
    			double partialOutput = Output[i]*(1-Output[i]);
    			partialErrorArr[i]=partialError;
    			partialOutputArr[i]=partialOutput;
    			for(int j = 0; j<Hidden.length; j++) {
    				double partialSum = Hidden[j];
    				double delta = partialError*partialOutput*partialSum;
    				dWeightsO[j+i*Hidden.length] = delta;
    			}
    		}
     
    		double[] partialHiddenOut = new double[weightsO.length];
    		for(int i = 0; i<Hidden.length; i++) {
    			for(int j = 0; j<Output.length; j++) {
    				partialHiddenOut[j+i*Output.length] = weightsO[i+j*Output.length];
    			}
    		}
     
    		double[] partialHidden = new double[Hidden.length];
    		for(int i = 0; i<Hidden.length; i++) {
    			double sum = 0;
    			for(int j = 0; j<Output.length; j++) {
    				sum += partialErrorArr[j]*partialOutputArr[j]*partialHiddenOut[j+i*Output.length];
    			}
    			partialHidden[i]=sum;
    		}
     
    		double[] dWeightsH = new double[weightsH.length];
    		for(int i = 0; i<Hidden.length; i++) {
    			for(int j = 0; j<Input.length; j++) {
    				dWeightsH[j+i*Input.length] = partialHidden[i]*Hidden[i]*(1-Hidden[i])*Input[j];
    			}
    		}
     
    		double[] dBiasesO = new double[biasesO.length];
    		for(int i = 0; i<biasesO.length; i++) {
    			biasesO[i] = partialErrorArr[i]*partialOutputArr[i];
    		}
     
    		double[] dBiasesH = new double[biasesH.length];
    		for(int i = 0; i<biasesH.length; i++) {
    			dBiasesH[i] = partialHidden[i]*Hidden[i]*(1-Hidden[i]);
    		}
     
    		for(int i = 0; i<biasesO.length; i++) {
    			biasesO[i] -= lr*dBiasesO[i];
    		}
     
    		for(int i = 0; i<biasesH.length; i++) {
    			biasesH[i] -= lr*dBiasesH[i];
    		}
     
    		for(int i = 0; i<weightsO.length; i++) {
    			weightsO[i] -= lr*dWeightsO[i];
    		}
     
    		for(int i = 0; i<weightsH.length; i++) {
    			weightsH[i] -= lr*dWeightsH[i];
    		} 
    	}
     
    	/*public static void main(String[] args) {
    		FFBackprop ffp = new FFBackprop(2, 3, 1, 0.5);
    		double out = ffp.ff(new double[] {1,1})[0];
    		System.out.println(out);
    		for(int i = 0; i<10000; i++) {
    			ffp.ff(new double[] {1,1});
    			ffp.backprop(new double[] {0});
    		}
    		out = ffp.ff(new double[] {1,1})[0];
    		System.out.println(out);
    	}*/
     
    }
    (Please tell me if my English doesn't make sense, I'm German and I'm not really good at English grammar)

  2. #2
    Member John Joe's Avatar
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    Default Re: Is my Neural Network correct/good?

    Can you tell us what you trying to do ?
    Whatever you are, be a good one

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