Changed project structure
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parent
b53328b41c
commit
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14 changed files with 50 additions and 4 deletions
2
gradlew
vendored
2
gradlew
vendored
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@ -31,7 +31,7 @@
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#
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# Busybox and similar reduced shells will NOT work, because this script
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# requires all of these POSIX shell features:
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# * functions;
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# * de.lluni.javann.functions;
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# * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
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# «${var#prefix}», «${var%suffix}», and «$( cmd )»;
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# * compound commands having a testable exit status, especially «case»;
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@ -1,3 +1,7 @@
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package de.lluni.javann;
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import de.lluni.javann.layers.FCLayer;
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import de.lluni.javann.layers.Layer;
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import org.ejml.simple.SimpleMatrix;
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import java.util.ArrayList;
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@ -24,9 +28,9 @@ public class Network {
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*/
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public void addNeuron(int layer, int n) {
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if (!(this.layers.get(layer) instanceof FCLayer)) {
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System.out.println("This layer is not a BlankLayer");
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System.out.println("This layer is not a de.lluni.javann.layers.BlankLayer");
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} else if (!(this.layers.get(layer + 2) instanceof FCLayer)) {
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System.out.println("The next layer is not a BlankLayer");
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System.out.println("The next layer is not a de.lluni.javann.layers.BlankLayer");
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}
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((FCLayer) this.layers.get(layer)).addNeuron(n);
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((FCLayer) this.layers.get(layer + 2)).updateInputSize(n);
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@ -1,3 +1,6 @@
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package de.lluni.javann.examples;
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import de.lluni.javann.util.GradientDescent;
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import org.ejml.simple.SimpleMatrix;
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import java.util.function.Function;
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@ -1,3 +1,11 @@
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package de.lluni.javann.examples;
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import de.lluni.javann.Network;
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import de.lluni.javann.functions.ActivationFunctions;
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import de.lluni.javann.functions.LossFunctions;
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import de.lluni.javann.layers.ActivationLayer;
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import de.lluni.javann.layers.FCLayer;
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import de.lluni.javann.util.Utilities;
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import org.ejml.simple.SimpleMatrix;
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import org.knowm.xchart.SwingWrapper;
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import org.knowm.xchart.XYChart;
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@ -1,3 +1,10 @@
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package de.lluni.javann.examples;
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import de.lluni.javann.Network;
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import de.lluni.javann.functions.ActivationFunctions;
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import de.lluni.javann.functions.LossFunctions;
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import de.lluni.javann.layers.ActivationLayer;
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import de.lluni.javann.layers.FCLayer;
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import org.ejml.simple.SimpleMatrix;
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public class ExampleXOR {
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@ -1,3 +1,10 @@
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package de.lluni.javann.examples;
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import de.lluni.javann.Network;
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import de.lluni.javann.functions.ActivationFunctions;
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import de.lluni.javann.functions.LossFunctions;
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import de.lluni.javann.layers.ActivationLayer;
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import de.lluni.javann.layers.FCLayer;
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import org.ejml.simple.SimpleMatrix;
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public class ExampleXORBlankLayers {
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@ -1,3 +1,5 @@
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package de.lluni.javann.functions;
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import org.ejml.simple.SimpleMatrix;
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public class ActivationFunctions {
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@ -1,3 +1,5 @@
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package de.lluni.javann.functions;
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import org.ejml.simple.SimpleMatrix;
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public class LossFunctions {
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@ -1,3 +1,5 @@
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package de.lluni.javann.layers;
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import org.ejml.simple.SimpleMatrix;
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import java.util.function.Function;
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@ -1,10 +1,12 @@
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package de.lluni.javann.layers;
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import org.ejml.simple.SimpleMatrix;
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import java.util.Random;
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/**
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* Goal: initialize layer without any neurons. Not yet implemented.
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* Layer initialized with 1 neuron.
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* de.lluni.javann.layers.Layer initialized with 1 neuron.
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* Assumes that each new neuron is fully connected to every previous neuron (this will be changed in the future).
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*/
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public class BlankLayer extends Layer {
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@ -1,3 +1,6 @@
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package de.lluni.javann.layers;
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import de.lluni.javann.util.Utilities;
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import org.ejml.simple.SimpleMatrix;
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import java.util.Random;
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@ -1,3 +1,5 @@
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package de.lluni.javann.layers;
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import org.ejml.simple.SimpleMatrix;
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public abstract class Layer {
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@ -1,3 +1,5 @@
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package de.lluni.javann.util;
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import org.ejml.simple.SimpleMatrix;
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import java.util.function.Function;
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@ -1,3 +1,5 @@
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package de.lluni.javann.util;
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import com.opencsv.CSVReader;
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import com.opencsv.exceptions.CsvValidationException;
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import org.ejml.simple.SimpleMatrix;
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