This project demonstrates the application of transfer learning on the CIFAR100 dataset using a ResNet50 model pretrained on ImageNet. The goal is to leverage the knowledge learned from large-scale ...

A PyTorch implementation of the CamVid dataset semantic segmentation using FCN ResNet50 FPN model. The dataset has been taken from CamVid (Cambridge-Driving Labeled Video Database). This is for those ...

To tackle performance bottlenecks efficiently under time constraints in software testing, prioritize critical areas of the application, such as key user flows or resource-intensive features.

Five DCNN models (VGG19, VGG16, ResNet50, InceptionV3, and Xception) were constructed with convolution layers, max pool layers, flatten layer, fully connected layers, feature extraction layer, and ...

Abstract: The Concept Bottleneck Model (CBM) is an interpretable neural network that leverages high-level concepts to explain model decisions and conduct human-machine interaction. However, in ...

The technology is soaring, but like a busy road with too much traffic, there’s always a bottleneck. AI adoption is off the charts, business ambition is strong, but do we have the connectivity ...

Create your free account or sign in to continue your search ...

Get the best of CNBC Africa sent straight to your inbox with breaking business news, insights and updates from experts across the continent.

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper uses principal component analysis (PCA) to identify bottlenecks to effective public investment management in ...

A major bottleneck in this traditional CLD workflow is random integration. Researchers have little control over where the gene integrates, necessitating extensive screening of numerous clones to ...

HELSINKI : Tech entrepreneurs and investors meet in Finland on Wednesday at Slush, one of Europe's largest start-up events, with a focus on whether funding conditions will ease, the impact of ...