The work in this paper evaluates the performance of Intel® Xeon® processor powered machines for running deep learning on the GoogleNet* topology (Inception* v.
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.
Graph Attention Networks Using Intel® Optimization for Tensorflow* on Intel® Xeon® Scalable ProcessorsThe adjacency matrix in real world graph is sparse. CPU systems without discrete hardware accelerators provide competitive training
A face recognition inference experiment using Intel® Xeon® scalable processors showing the AI power of face recognition applications.
Accelerate Deep Learning Applications Using Multiprocessing and Intel® Math Kernel Library (Intel® MKL) for Deep Neural NetworksDarwinAI’s Generative Synthesis platform uses Artificial Intelligence to generate compact, highly efficient neural network models from existing model
Explore the use of Intel Optimization for TensorFlow in sentiment analysis and classifying investment profiles.