CNN or RNN: Review and Experimental Comparison on Image Classification
Chen Junliang
Abstract
Image classification is widely used in different domains such as autonomous driving and medical care, etc. In this paper, we focus on using deep learning model to identify image. We also analysis the performance of CNN-based model and RNN-based model on image classification. Lots of relevant datasets are applied to image classification such as ImageNet dataset and MINIST dataset. In this paper, we conduct experiments on these two datasets. The experimental results of training and testing on those two datasets shows that CNN model is better than RNN model in image classification.
Topics & Concepts
Computer scienceArtificial intelligenceContextual image classificationFocus (optics)Image (mathematics)Deep learningPattern recognition (psychology)Machine learningPhysicsOpticsAdvanced Neural Network ApplicationsCOVID-19 diagnosis using AIAI in cancer detection