Skip To Main Content
Intel logo - Return to the home page
My Tools

Select Your Language

  • Bahasa Indonesia
  • Deutsch
  • English
  • Español
  • Français
  • Português
  • Tiếng Việt
  • ไทย
  • 한국어
  • 日本語
  • 简体中文
  • 繁體中文
Sign In to access restricted content

Using Intel.com Search

You can easily search the entire Intel.com site in several ways.

  • Brand Name: Core i9
  • Document Number: 123456
  • Code Name: Alder Lake
  • Special Operators: “Ice Lake”, Ice AND Lake, Ice OR Lake, Ice*

Quick Links

You can also try the quick links below to see results for most popular searches.

  • Product Information
  • Support
  • Drivers & Software

Recent Searches

Sign In to access restricted content

Advanced Search

Only search in

Sign in to access restricted content.

The browser version you are using is not recommended for this site.
Please consider upgrading to the latest version of your browser by clicking one of the following links.

  • Safari
  • Chrome
  • Edge
  • Firefox

Introducing a New Tool for Neural Network Profiling & Inference Experiments

@IntelDevTools


Subscribe Now

Stay in the know on all things CODE. Updates are delivered to your inbox.

Sign Up

Overview

If you use the Intel® Distribution of OpenVINO™ toolkit (even if you don’t yet), the latest release introduces a new profiler tool to more easily run and optimize deep learning models.

Deep Learning Workbench is a production-ready tool that enables developers to visualize key performance metrics such as latency, throughput, and performance counters for neural network topologies and their layers. It also streamlines configuration for inference experiments including int8 calibration, accuracy check, and automatic detection of optimal performance settings.

Join senior software engineer Shubha Ramani for an overview and demonstration of Deep Learning Workbench, where she covers:

  • How to download, install, and get started with the tool
  • Its new features, including model analysis, int8 and Winograd optimizations, accuracy, and benchmark data
  • How to run experiments with key parameters such as batch size, parallel streams, and more to determine the most optimal configuration for your application.

 

Get the Software

Download the latest version of the Intel® Distribution of OpenVINO™ toolkit.

 

Shubha Ramani
Senior software engineer, Intel Corporation

Shubha's specialties span all facets of deep learning and AI. In her current role, she focuses on the Intel Distribution of OpenVINO toolkit, including helping customers use its full capabilities and build complex deep learning prototypes. Additionally, she helps customers embrace world-class automotive driving SDKs and tools from Intel, and develops complex, real-world C++ samples using the Autonomous Driving Library for inclusion in automated driving solutions.

Shubha holds an master of science in electrical engineering degree in embedded systems software from the University of Colorado at Boulder, and a bachelor of science in electrical engineering degree from Texas A&M University in College Station.

 

Intel® Distribution of OpenVINO™ Toolkit

Optimize models trained using popular frameworks like TensorFlow*, PyTorch*, and Caffe*, and deploy across a mix of Intel® hardware and environments.

 

Get It Now

 

See All Tools

 

  • Company Overview
  • Contact Intel
  • Newsroom
  • Investors
  • Careers
  • Corporate Responsibility
  • Diversity & Inclusion
  • Public Policy
  • © Intel Corporation
  • Terms of Use
  • *Trademarks
  • Cookies
  • Privacy
  • Supply Chain Transparency
  • Site Map
  • Do Not Share My Personal Information

Intel technologies may require enabled hardware, software or service activation. // No product or component can be absolutely secure. // Your costs and results may vary. // Performance varies by use, configuration and other factors. // See our complete legal Notices and Disclaimers. // Intel is committed to respecting human rights and avoiding complicity in human rights abuses. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to a violation of an internationally recognized human right.

Intel Footer Logo