7 citations · 7 across the 4 of their papers we have counts for
4 papers
Residual-CNDS for Grand Challenge Scene Dataset
Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer +1
Increasing depth of convolutional neural networks (CNNs) is a highly promising method of increasing the accuracy of the (CNNs). Increased CNN depth will also result in increased la…
The Compressed Model of Residual CNDS
Hussam Qassim, David Feinzimer, Abhishek Verma
Convolutional neural networks have achieved a great success in the recent years. Although, the way to maximize the performance of the convolutional neural networks still in the beg…
Residual Squeeze VGG16
Hussam Qassim, David Feinzimer, Abhishek Verma
Deep learning has given way to a new era of machine learning, apart from computer vision. Convolutional neural networks have been implemented in image classification, segmentation…
Residual CNDS
Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma
Convolutional Neural networks nowadays are of tremendous importance for any image classification system. One of the most investigated methods to increase the accuracy of CNN is by…