Techniques For Avoiding Model Overfitting On Small Dataset
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Building a deep learning model based on small dataset is difficult, even impossible. Toavoiding overfitting, we must constrain model, which we train. Techniques as data augmentation,regularization or data normalization could be crucial. We have created a benchmark with a simpleCNN image classifier in order to find the best techniques. As a result, we compare different types ofdata augmentation and weights regularization and data normalization on a small dataset.
KeywordsDeep Learning, Dataset size, Overfitting, Data Augmentation, Regularization, ImageClassification, Batch Normalization, Data Normalization
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 451-456. ISBN 978-80-214-5942-7
- Student EEICT 2021