Ninad KaleXception: Deep Learning with Depthwise Separable ConvolutionsAbstract: This paper propose a novel deep convolutional neural network architecture inspired by Inception, where Inception modules have…Feb 81
Tannaz MostafidOverview of VGG16, ResNet50, Xception and MobileNet Neural NetworksIntroductionDec 11, 2023
Saba HesarakiXceptionXception, an abbreviation for “Extreme Inception,” represents a milestone in convolutional neural network (CNN) design. Conceived by…Dec 28, 2023Dec 28, 2023
PrabhleensalujaFlower image classification using CNNThe nature around us is incredibly diverse with over 5000 species of mammals, 10000 species of birds and 400000 species of flowers. The…Nov 13, 2023Nov 13, 2023
Neil RathodCdiscount’s Image Classification Challenge1. Business/Real-world ProblemSep 15, 2022Sep 15, 2022
Ninad KaleXception: Deep Learning with Depthwise Separable ConvolutionsAbstract: This paper propose a novel deep convolutional neural network architecture inspired by Inception, where Inception modules have…Feb 81
Tannaz MostafidOverview of VGG16, ResNet50, Xception and MobileNet Neural NetworksIntroductionDec 11, 2023
Saba HesarakiXceptionXception, an abbreviation for “Extreme Inception,” represents a milestone in convolutional neural network (CNN) design. Conceived by…Dec 28, 2023
PrabhleensalujaFlower image classification using CNNThe nature around us is incredibly diverse with over 5000 species of mammals, 10000 species of birds and 400000 species of flowers. The…Nov 13, 2023
Zack TanAn Xceptional way of looking at CNN modelsSince the dawn of BatchNormalization, data scientists both young and old have scoured the layers of neural networks searching for ways to…Apr 28, 2022
Cenk BircanogluReview of Deep Learning Architectures for Image Classification Problem (Part 3)In this blog post, I added my notes on Wide-ResNet, ShuffleNet, ResNeXt and Xception networks.Jan 19, 2022
