movidius™ neural compute stick - intel newsroom · accelerate deep learning development at the...

PRODUCT BRIEF Movidius™ Neural Compute Stick Accelerate deep learning development at the edge Introduction Be on the leading edge of neural network development with the Movidius™ Neural Compute Stick. Prototype and tune your Deep Neural Network with this USB form factor device that enables you to run on a power-efficient device designed for machine intelligence applications. The USB form factor easily attaches to existing hosts and prototyping platforms, while the Vision Processing Unit (VPU) provides machine learning on a low-power inference engine. Enter a trained Caffe, feed-forward Convolutional Neural Network (CNN) into the toolkit, profile it, then compile a tuned version ready for embedded deployment using our Neural Compute Platform API. Visit developer.movidius.com to learn more. Product Features Supports CNN profiling, prototyping, and tuning workflow All data and power provided over a single USB Type A port Real-time, on device inference - cloud connectivity not required Run multiple devices on the same platform to scale performance Quickly deploy existing CNN models or uniquely trained networks Features the Movidius VPU with energy-efficient CNN processing INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. A "Mission Critical Application" is any application in which failure of the Intel Product could result, directly or indirectly, in personal injury or death. SHOULD YOU PURCHASE OR USE INTEL'S PRODUCTS FOR ANY SUCH MISSION CRITICAL APPLICATION, YOU SHALL INDEMNIFY AND HOLD INTEL AND ITS SUBSIDIARIES, SUBCONTRACTORS AND AFFILIATES, AND THE DIRECTORS, OFFICERS, AND EMPLOYEES OF EACH, HARMLESS AGAINST ALL CLAIMS COSTS, DAMAGES, AND EXPENSES AND REASONABLE ATTORNEYS' FEES ARISING OUT OF, DIRECTLY OR INDIRECTLY, ANY CLAIM OF PRODUCT LIABILITY, PERSONAL INJURY, OR DEATH ARISING IN ANY WAY OUT OF SUCH MISSION CRITICAL APPLICATION, WHETHER OR NOT INTEL OR ITS SUBCONTRACTOR WAS NEGLIGENT IN THE DESIGN, MANUFACTURE, OR WARNING OF THE INTEL PRODUCT OR ANY OF ITS PARTS. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Intel, the Intel logo, Movidius and the Movidius logo are trademarks of Intel Corporation in the U.S. and/or other countries. Copyright © 2017 Intel Corporation. All rights reserved. • • • • • • an Intel company

Upload: others

Post on 08-Jul-2020

2 views

Category:

Documents

0 download

Report

Download

Embed Size (px):

TRANSCRIPT

Page 1: Movidius™ Neural Compute Stick - Intel Newsroom · Accelerate deep learning development at the edge Introduction Be on the leading edge of neural network development with the Movidius™

PRODUCT BRIEF

Movidius™ Neural Compute StickAccelerate deep learning development at the edge

Introduction

Be on the leading edge of neural network developmentwith the Movidius™ Neural Compute Stick. Prototype and tuneyour Deep Neural Network with this USB form factor devicethat enables you to run on a power-efficient devicedesigned for machine intelligence applications.

The USB form factor easily attaches to existing hosts andprototyping platforms, while the Vision Processing Unit (VPU)provides machine learning on a low-power inference engine.

Enter a trained Caffe, feed-forward Convolutional NeuralNetwork (CNN) into the toolkit, profile it, then compile a tunedversion ready for embedded deployment using ourNeural Compute Platform API.

Visit developer.movidius.com to learn more.

Product Features

Supports CNN profiling, prototyping, and tuning workflow

All data and power provided over a single USB Type A port

Real-time, on device inference - cloud connectivity not required

Run multiple devices on the same platform to scale performance

Quickly deploy existing CNN models or uniquely trained networks

Features the Movidius VPU with energy-efficient CNN processing

INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANYEXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT.A "Mission Critical Application" is any application in which failure of the Intel Product could result, directly or indirectly, in personal injury or death. SHOULD YOU PURCHASE OR USE INTEL'S PRODUCTS FORANY SUCH MISSION CRITICAL APPLICATION, YOU SHALL INDEMNIFY AND HOLD INTEL AND ITS SUBSIDIARIES, SUBCONTRACTORS AND AFFILIATES, AND THE DIRECTORS, OFFICERS, AND EMPLOYEES OFEACH, HARMLESS AGAINST ALL CLAIMS COSTS, DAMAGES, AND EXPENSES AND REASONABLE ATTORNEYS' FEES ARISING OUT OF, DIRECTLY OR INDIRECTLY, ANY CLAIM OF PRODUCT LIABILITY, PERSONALINJURY, OR DEATH ARISING IN ANY WAY OUT OF SUCH MISSION CRITICAL APPLICATION, WHETHER OR NOT INTEL OR ITS SUBCONTRACTOR WAS NEGLIGENT IN THE DESIGN, MANUFACTURE, OR WARNINGOF THE INTEL PRODUCT OR ANY OF ITS PARTS.The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Intel, the Intel logo, Movidius and the Movidius logo are trademarks of Intel Corporation in the U.S. and/or other countries.

•

an Intel company

developer.movidius.com

An Edge Detection Method using BP Feedfoward Neural … · An Edge Detection Method using BP Feedfoward Neural ... Sobel and Canny edge detector. ... Edge Detection, Neural Networks,

Initializing a Neural Network on the Edge of Chaos...Pierre Wolinski University of Oxford/Inria Grenoble 06/10/2020 Pierre Wolinski Initializing a Neural Netrkwo on the Edge of Chaos

Deep Neural Network Pruning for Efficient Edge Computing ... · Deep Neural Network Pruning for Efficient Edge Computing in IoT Rih-TengWu1 ... Molchanovet al.(2017), “Pruning Convolutional

Edge-Labeling Graph Neural Network for Few-Shot Learningopenaccess.thecvf.com/content_CVPR_2019/papers/Kim_Edge... · 2019-06-10 · Edge-Labeling Graph Neural Network for Few-shot

Edge-Aware Convolution Neural Network Based Salient Object ...static.tongtianta.site › paper_pdf › 831b38ae-3feb-11e... · Edge-Aware Convolution Neural Network Based Salient

Neural Networks in Finance - untag-smd.ac.id › files › Perpustakaan_Digital_1 › FINANCE... · 2012-12-06 · Neural Networks in Finance: Gaining Predictive Edge in the Market

Edge Intelligence: Convergence of Edge Compute …acm-ieee-sec.org/2018/AR_edge.pdf‒Innovation in algorithms: DNN, CNN, DBN, RNN Modern NNs loosely based on neural network function

Dynamic Edge-Conditioned Filters in Convolutional …Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Martin Simonovsky Universite Paris Est,´ Ecole des

Edge-Labeling Graph Neural Network for Few-shot Learning · Edge-Labeling Graph Neural Network for Few-shot Learning ... [36, 37], but never applied to a graph for few-shot learning