5.2 KiB
5.2 KiB
"Hot Topic" How-To Links
Blogs & Articles
- Maximize CPU Inference Performance with Improved Threads and Memory Management in Intel® Distribution of OpenVINO™ toolkit
- Simplifying Cloud to Edge AI Deployments with the Intel® Distribution of OpenVINO™ Toolkit, Microsoft Azure, and ONNX Runtime
- Streamline your Intel® Distribution of OpenVINO™ Toolkit development with Deep Learning Workbench
- Enhanced Low-Precision Pipeline to Accelerate Inference with OpenVINO Toolkit
- Improving DL Performance Using Binary Convolution Support in OpenVINO Toolkit
- Automatic Multi-Device Inference with the Intel® Distribution of OpenVINO™ toolkit
- CPU Inference Performance Boost with “Throughput” Mode in the Intel® Distribution of OpenVINO™ Toolkit
- Introducing int8 quantization for fast CPU inference using OpenVINO
- Accelerate Vision-based AI with Intel® Distribution of OpenVINO™ Toolkit
Custom Layers Guide
To learn about what is custom layers and how to work with them in the Deep Learning Deployment Toolkit, see the Custom Layers Guide.
Introducing OpenVINO™ and Computer Vision | IoT Developer Show Season 2 | Intel Software
OpenVINO™ Toolkit and Two Hardware Development Kits | IoT Developer Show Season 2 | Intel Software
Intel Demonstration of High Performance Vision Deployment - The OpenVINO Toolkit in Action
Computer Vision at the Edge with OpenVINO by Krishnakumar Shetti at ODSC_India
Model optimizer concept
Computer Vision with Intel
