A practical study of neural network-based image classification model trained with transfer learning method
Marek Dąbrowski, Justyna Gromada, Tomasz Michalik · Annals of Computer Science and Information Systems · 2016
This paper deals with algorithms for image classification, which aim to guess "what is on the picture" using human-readable labels or categories.A supervised learning approach with Convolutional Neural Networks (CNNs) is studied as an effective solution to different computer vision problems, including image classification.Main contribution of this paper is a set of practical guidelines to tackle the image classification problem using publicly available tools and typical hardware platforms.