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Intel® System Debugger 2019 - Get Started With UP Squared* Via USB Debug Capability (DbC)

Last updated: December 10, 2018Video length: 7 min

This video will explain how you can use Intel® System Debugger 2019 to debug on Intel® processor-based platforms. In this video, the hardware used is UP Squared* and USB DBC.The user can use Intel System Debugger to debug their target system easily by using steps shown in this video.

Retail Reference Implementations | IOT Developer Show | Season 3

Last updated: December 5, 2018

In this episode of the IOT Developer Show Season 3, you'll learn about the reference implementations for retail spaces, and take a closer look at the Store Traffic Monitor.

Using the Model Optimizer to Convert MXNet* Models

Introduction

The Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment...

Developer Success Stories Library

Published on December 3, 2018

Intel® Parallel Studio XE | Intel® System Studio  | Intel® Media Server Studio

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What are Reference Implementations? | IOT Developer Show | Season 3

Last updated: December 3, 2018

We kick off season 3 of the IOT Developer Show giving you an overview of what reference implementations are, how you can use them, and what hardware you can use when developing your own IOT solutions!

Manufacturing and Production Improvements with Computer Vision

Last updated: November 29, 2018Video length: 42 min

Use cases for manufacturing and production improvements with computer vision.

Installation Guide for Intel® Distribution of OpenVINO™ toolkit with Support for FPGA 2

These steps apply to Ubuntu*, CentOS*, and Yocto* and include the following components: Model Optimizer, Inference

Intel Vision Accelerator Design with an IntelArria 10 FPGA Installation Guide

Last updated: November 26, 2018

This document introduces the functions and features of Intel's High Density Deep Learning FPGA, known as the Intel® Vision Accelerator Design...

Inference Engine Developer Guide

Deploying deep learning networks from the training environment to embedded platforms for inference is a complex task. The Inference Engine deployment...

Inference Engine Samples

Image Classification Sample Description

This topic demonstrates how to build and run the Image Classification sample application, which does...

Using the Model Optimizer to Convert TensorFlow* Models

Introduction

The Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment...

Using the Model Optimizer to Convert Caffe* Models

Introduction

The Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment...

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