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LEMLIJN Clément
2026-05-12 12:07:13 +02:00
parent 657f6c2894
commit 9bf0ca7391
3 changed files with 57 additions and 2 deletions
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4
config.json
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@@ -2,13 +2,13 @@
"model": {
"new": false,
"parameters": [10, 10, 5],
"path": "C:/HEPL/RNA2/ANN-framework/src/main/resources/snapshots/snapshot-learning.json"
"path": "C:/HEPL/RNA2/ANN-framework/src/main/resources/snapshots/snapshot-low-learning.json"
},
"training" : {
"learning_rate" : 0.003,
"max_epoch" : 5000
},
"dataset" : {
"path" : "C:/HEPL/RNA2/ANN-framework/src/main/resources/assets/LangageDesSignes/data_formatted_validation.csv"
"path" : "C:/HEPL/RNA2/ANN-framework/src/main/resources/assets/LangageDesSignes/data_formatted_Low_learning.csv"
}
}

5
src/main/java/com/naaturel/ANN/Main.java
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@@ -75,6 +75,7 @@ public class Main {
}
private static void accuracyCheck(DataSet dataset, Model model){
int correct = 0;
float totalConfidence = 0;
for (DataSetEntry entry : dataset) {
float[] predictions = model.predict(entry.getDataAsFloat());
List<Float> labels = dataset.getLabelsAsFloat(entry);
@@ -84,6 +85,7 @@ public class Main {
for (int i = 1; i < predictions.length; i++) {
if (predictions[i] > predictions[predictedClass]) predictedClass = i;
}
totalConfidence += predictions[predictedClass];
// argmax of labels
int expectedClass = 0;
@@ -91,11 +93,14 @@ public class Main {
if (labels.get(i) > labels.get(expectedClass)) expectedClass = i;
}
System.out.println(Arrays.toString(predictions) + " || " + predictedClass + " | " + expectedClass);
if (predictedClass == expectedClass) correct++;
}
float x = 100f * correct / dataset.size();
System.out.println("Accuracy: " + x + "%");
System.out.println("Average confidence: " + totalConfidence / dataset.size() + "%");
}
private static void plotGraph(DataSet dataset, Model network){

50
src/main/resources/assets/LangageDesSignes/data_formatted_low_learning.csv Normal file
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@@ -0,0 +1,50 @@
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