Machine Learning Meets Real World, Deploying Solutions on Embedded Processors | NXP Semiconductors

デザイン・センター
トレーニング
Machine Learning Meets Real World, Deploying Solutions on Embedded Processors

Machine Learning Meets Real World, Deploying Solutions on Embedded Processors

アカウントが必要です

サインインこのコンテンツおよびサイトの追加機能にアクセスすることができます。アカウントをお持ちでないですか？今すぐご登録下さい。

About This Training

With endless possibilities for machine learning (ML) at the Edge, designing for ML applications is at the forefront of embedded engineers’ minds. Join this roundtable session to explore some of the top considerations when developing and running your machine learning models on embedded processors in the real world.

Experts from NXP and its partners will discuss some of the design considerations and trends in the market, including considerations for data, training and model selection options all the way to deployment for IoT, security and industrial applications.

Presentation

Machine Learning Meets Real World, Deploying Solutions on Embedded Processors

What You Will Learn

Review top development considerations and advice for deploying a machine learning solution
Learn about NXP's introduction to NXP’s machine learning hardware and software solutions
Get introduced to Arcturus' Brinq Analytics applications
View an introduction to Basler’s embedded vision system and solutions

Presented by

Ali Osman Örs
Director, AI and ML Strategy and Technologies, Edge Processing, NXP Semiconductors
Thies Möller
Chief Engineer, Basler AG
David Steele
Director of Innovation, Arcturus

期間

31 min

言語

英語

0閲覧数0いいね

We are looking for ways to improve.

アンケートに答える。

このトレーニングで紹介した製品

IMX8MPLUS: i.MX 8M Plus - Arm® Cortex®-A53、機械学習、ビジョン、マルチメディア、インダストリアルIoT

IMX8MPLUS: i.MX 8M Plus - Arm® Cortex®-A53、機械学習、ビジョン、マルチメディア、インダストリアルIoT

Additional Resources

eIQ^® Machine Learning Software Development Environment

i.MX 8M Plus Applications Processors

Stay In the Loop

Subscribe to our newsletter to stay updated with our latest developments and if you need further assistance, we are here to help.

Subscribe Contact Support