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IEEE15d
Hybrid Convolution Architecture for Energy-Efficient Deep Neural Network Processing
Abstract: This paper presents a convolution process and its hardware architecture for energy-efficient deep neural network (DNN) processing. A DNN in general consists of a number of convolutional ...
IEEE3d
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
To address this challenge, Neural Architecture Search (NAS) has emerged as a popular design automation technique for co-optimizing the accuracy and complexity of deep neural networks. Nevertheless, ...
GitHub24d
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR'20
pip3 install wldhx.yadisk-direct % ImageNet curl -L $(yadisk-direct https://yadi.sk/d/rdk6ylF5mK8ptw?w=1) -o deepens_imagenet.zip unzip deepens_imagenet.zip % CIFARs ...
GitHub7d
architecture-decision-records
Navigate the complex landscape of .NET software architecture with our step-by-step, story-like guide. Unpack the interplay between modular monoliths, microservices, domain-driven design, and various ...
The Lancet23d
FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study
aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...