Yapay Sinir Ağlarında Parçalı Eğitim
Yapay sinir ağları ile büyük veri kümeleri modellenirken eğitimi paralelleştirmek için, eğitim kümesi ağa toptan yerine parçalara ayrılarak verilir. Bu sayede eğitim süresi azaltılır. Bu çalışmada parçalı eğitimin küçük veri kümelerine uygulandığındaki etkisi incelenmiştir. 4 farklı eğitim algoritması ve 11 veri kümesi üzerinde yapılan testlerde, 3 eğitim algoritması için parçalı eğitimin, toptan eğitimden daha başarılı olduğunu görülmüştür.
Anahtar Kelimeler:
Yapay Sinir Ağları, Toptan Öğrenme, Parçalı Öğrenme, Tekil Öğrenme, Makine Öğrenmesi, Optimizasyon, Yapay Zeka
Mini‐Batching for Artificial Neural Network Training
When the large data sets are modeling with Artificial Neural Networks, the training set is divided into mini-batches to parallelize training phase. In this way, training time is reduced. In this study, the effect of the mini-batch training was investigated when it applied to small data sets. In our experiments, 4 different learning algorithms over 11 datasets were used. It is shown that the mini-batch training is more successful than the full batch training with 3 learning algorithm.
Keywords:
Artificial Neural Network, Batch Learning, Mini-batch Learning, Stochastic Learning, Machine Learning, Optimization, Artificial Intelligence,
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- ISSN: 1305-8991
- Başlangıç: 2005
- Yayıncı: Türkiye Bilişim Vakfı