… In this paper, our system uses deep learning algorithm to achieve … Convolutional Neural
Network (CNN), a machine learning algorithm being used for automatic classification the images…

… Abstract—Image patch classification is an important task in many different medical imaging
… Convolutional Neural Networks (CNN) with shallow convolution layer to classify lung image …

… Abstract—Convolutional Neural Network (CNN) is the stateof-the-art for image classification
… In this paper, We have explained different CNN architectures for image classification. …

… In this paper, we survey a dozen tricks to train deep convolutional neural networks to improve
model accuracy. These tricks introduce minor modifications to the model architecture, data …

… using a two track deep neural network model. The first track is the deep convolutional neural
network … which can raise the ability of the first track model by using multi-layer features. Any …

… Deep supervised learning for hyperspectral data classification through convolutional
neural networks. In Proceedings of the IEEE International Geoscience and Remote Sensing …

… Based on these research insights on image classification from CIFAR-10 imagery, this paper
introduces a simple deep neural network… overall accuracy of image classification process as …

… and integrate with neural network-based classifier. This letter investigates the suitability
and potential of deep convolutional neural network in supervised classification of polarimetric …

… , leaf…) classification base on images. This paper proposes the image classification model
… The proposal model uses Convolutional Neural Network with two parameters (n, m) where n …

… image (HSI) classification is one of the most widely used … been proposed for the HSI
classification problem. In this … image classification based on convolutional neural networks …