Power System Infrastructure Monitoring Using Deep Learning on Intel® Architecture

The work in this paper evaluates the performance of Intel® Xeon® processor powered machines for running deep learning on the GoogleNet* topology (Inception* v.
作者: 管理 最后更新时间: 2018/05/08 - 09:20

Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
作者: Kocot, Szymon 最后更新时间: 2019/03/26 - 16:20

Graph Attention Networks Using Intel® Optimization for Tensorflow* on Intel® Xeon® Scalable Processors

The adjacency matrix in real world graph is sparse. CPU systems without discrete hardware accelerators provide competitive training
作者: 管理 最后更新时间: 2019/07/08 - 11:12

Optimizing Face Recognition Inference on Intel® Xeon® Scalable Processors

A face recognition inference experiment using Intel® Xeon® scalable processors showing the AI power of face recognition applications.
作者: 管理 最后更新时间: 2019/07/09 - 08:37

Accelerate Deep Learning Applications Using Multiprocessing and Intel® Math Kernel Library (Intel® MKL) for Deep Neural Networks

DarwinAI’s Generative Synthesis platform uses Artificial Intelligence to generate compact, highly efficient neural network models from existing model
作者: 管理 最后更新时间: 2019/11/20 - 10:04

Sentiment Analysis for Investor Profiles

Explore the use of Intel Optimization for TensorFlow in sentiment analysis and classifying investment profiles.
作者: 管理 最后更新时间: 2019/11/21 - 14:59