… Furthermore, we use Convolutional Neural Networks in the proposed method. In this study,
the image classification process is performed by using like a LeNet network model. The caffe …

… , we utilize deep learning and present Convolutional Neural Network (CNN) approaches. In
this study, … and three-dimensional convolution model approaches that can present efficient …

… Using convolutional neural network for the image classification, we … end deep learning
approach for CL, in which a network composed of fully connected layers followed by convolutional …

… medical images as best as possible, we use three pre-trained convolutional neural network
… chest radiology medical images, and CT Scan in a three-class classification. Utilizing transfer …

… The results demonstrate that, classification result is slightly better for the features extracted
… convolutional neural network approach compared to traditional image processing approach. …

… This study investigated the Convolutional neural network for DR to overcome this issue and
… The main contributions of this work is to apply deep learning to improve DR classification …

… voting of patches classification for the images classification, … deep learning based approach
to granite rocks classification. Our approaches are based on Convolutional Neural Networks …

… convolutional neural network (ML-CNN) model to improve the automatic detection and
classification … However, these methods require image processing techniques for feature extraction…

… In this paper we present an end-to-end deep learning [15] solution to the CL problem, and
… for the task of image classification [4]. The main novelty of the proposed approach is that the …

… to apply neural networks in gender classification, one was … with a large number of image
processing modules, the average … hybrid approach proposed in [10] processed the face image …