Image classification using deep learning
ABSTRACT Nowadays image recognition technology is widely used, and plays a very important role in various fields. Deep learning technology uses multilayer structure to analyze and deal with image features, which can improve the performance of image recognition. The popular models of deep learning contains Attention Models, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and other improved methods. The applications of image recognition based on deep learning technology including image classification, facial recognition, image search, object detection, pedestrian detection, video analysis. In this project we are dealing with the image classification using deep learning. We try to use Alexnet, Resnet and Many different architecture with convolutional neural networks for this purpose. The image classification is a classical problem of image processing, computer vision and machine learning fields. In this project we study the image classi...