How effective is Transfer Learning method for image classification
Marek Dąbrowski, Tomasz Michalik · Annals of Computer Science and Information Systems · 2017
This paper deals with re-training neural networkbased image classification model, using so-called Transfer Learning approach.This method allows for creating a new image classifier, reusing pre-trained weights from a publicly available model.Our study gives some insight on accuracy of re-trained models and provides guidelines concerning required number of training examples.Presented results may be useful for computer vision practitioners, who would like to adapt results of state-of-the-art research on neural networks for their own customized image recognition models.