How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Announcing new IoT developer kits this month along with tips on which processor is right for your VR projects.
This work demonstrates the experiments to train and test the deep learning AlexNet* topology with the Intel® Optimization for TensorFlow* library using CIFAR-10 classification data on Intel® Xeon® Scalable processor powered machines. These experiments were conducted with options set at compile time and run time.
Create a safe VR social environment and learn more about object detection specifically for drone videos.
Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)
The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.