Deep Learning Approaches for Image Classification

Abstract

Deep learning models can achieve a higher accuracy result compared with traditional machine learning algorithm. It is widely useful in different areas, especially in images classification area. In recent years, because of the improvement of hardware and the discovery of new deep learning network structures, the accuracy and reliability of deep learning model used in image classification have been greatly improved. However, in the field of images classification with deep learning technology, the reviews of the recent researches are lack. This paper will make a review about the recent researches of images classification based on deep learning. It includes the latest studies to improve the performance about deep learning. Additionally, the potential problems and challenges on deep learning technology and the possible future improvement and research direction are analyzed and discussed in the review.