Nowadays the rise of the artificial intelligence is with high speed. Even we are far away from the moment when machines are going to make decisions instead of human beings, the development in the field of neural networks is remarkable. They are in a big expansion in a new millennium. Their application is wide: they are used in processing images, video, speech, audio and text. One special kind of neural networks, convolutional neural networks have been a point of interest of researches in the last decade. These networks have been widely applied to a variety of pattern recognition problems, such as computer vision. Convolutional neural networks were trained on millions of images and it is difficult to outperform the accuracies that have been ...
In the recent years, deep learning has shown to have a formidable impact on image classification and...
This paper considers a model of object recognition in images using convolutional neural networks; th...
There are various ways a user can go about selecting a Convolutional Neural Net- work model for the...
Nowadays the rise of the artificial intelligence is with high speed. Even we are far away from the m...
Nowadays the rise of the artificial intelligence is with high speed. Even we are far away from the m...
Transfer learning methods have demonstrated state-of-the-art performance on various small-scale imag...
The object of research is the ability to combine a previously trained model of a deep neural network...
The object of research is the ability to combine a previously trained model of a deep neural network...
A complex classification task as scene recognition is considered in the present research. Scene reco...
Image classification is the process of assigning labeling to the input images to a fixed set of cate...
Image classification is one of the core problems in Computer Vision. The classification task consist...
The problem of deep learning network image classification when a large number of image samples are o...
Nowadays, image classification is a core task for many high impact applications such as object recog...
In this research, an analysis on convolutional neural network performance in image classification wi...
This paper considers a model of object recognition in images using convolutional neural networks; th...
In the recent years, deep learning has shown to have a formidable impact on image classification and...
This paper considers a model of object recognition in images using convolutional neural networks; th...
There are various ways a user can go about selecting a Convolutional Neural Net- work model for the...
Nowadays the rise of the artificial intelligence is with high speed. Even we are far away from the m...
Nowadays the rise of the artificial intelligence is with high speed. Even we are far away from the m...
Transfer learning methods have demonstrated state-of-the-art performance on various small-scale imag...
The object of research is the ability to combine a previously trained model of a deep neural network...
The object of research is the ability to combine a previously trained model of a deep neural network...
A complex classification task as scene recognition is considered in the present research. Scene reco...
Image classification is the process of assigning labeling to the input images to a fixed set of cate...
Image classification is one of the core problems in Computer Vision. The classification task consist...
The problem of deep learning network image classification when a large number of image samples are o...
Nowadays, image classification is a core task for many high impact applications such as object recog...
In this research, an analysis on convolutional neural network performance in image classification wi...
This paper considers a model of object recognition in images using convolutional neural networks; th...
In the recent years, deep learning has shown to have a formidable impact on image classification and...
This paper considers a model of object recognition in images using convolutional neural networks; th...
There are various ways a user can go about selecting a Convolutional Neural Net- work model for the...