Learn to develop high performance applications using the latest edge hardware and software from Intel.
The journey from training a deep learning model to deploying the model into the real world for inferencing can be treacherous. At the same time, the need for performance, accuracy and a no-one-size-fits-all approach can sometimes hamper productivity for many AI dev teams.
Take the stress out of training models with done-for-you integration and extensions ready and optimized for inferencing with the Intel® Distribution of OpenVINO™ toolkit.
Thursday, March 4, 2021 9-10 am PSTRegister now
Get an overview of AI-based reference applications that you can deploy to your Edge device to accelerate AI models, allowing for inference on CPU, Integrated GPU and VPU devices.
March 22, 2021 10:00 AM (GMT -7)Register now
Learn more about Intel® Edge Insights for Industrial and the value of collecting both computer vision and numerical data at the edge to analyze the status of your factory, business or retail center.
March 24, 2021 10:00 AM (GMT -7)Register now
Learn to build and run an Intelligent Traffic Management solution to monitor traffic intersections, optimize traffic flow, detect vehicles and pedestrians, record vehicle types, calculate velocity, and more.
March 29, 2021 10:00 AM (GMT -7)Register now
The Deep Learning (DL) Workbench is a key model optimization feature of the Intel® Distribution of the OpenVINO™ toolkit. This feature can now be accessed virtually, with no installation or hardware configuration, using the Intel® DevCloud for the Edge, a remote development environment with access to the latest Intel® hardware and software. In this webinar, Intel experts will demonstrate the capabilities of the DL Workbench on DevCloud for the Edge and demonstrate how users can use an object detection sample to test the features or upload their own model and access a wide range of Intel hardware virtually.
April 1, 2021 8:00 AM PST (GMT-7:00)Register now
This training will walk you through a computer vision workflow using the latest Intel technologies and comprehensive toolkits including support for deep learning algorithms that help accelerate smart video applications. You will learn how to optimize and improve performance with and without external accelerators and utilize tools to help you identify the best hardware configuration for your needs. This training will also outline the various frameworks and topologies supported by Intel accelerator tools.
Length: 16 modules, averaging 20m each
Learn more about Intel's reference software stack for video and sensor analytics. Find out how Intel® Edge Insights for Industrial enables you to integrate video and time-series data analytics on edge compute nodes and run concurrent workloads on ready-to-use containerized analytics pipelines. Learn to support acceleration and distribution of video analytics on CPUs, GPUs, and VPUs.
Length: 10 modules, averaging 2m each
Please download and install OpenVINO™ toolkit before you start the training.
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