Date: Thursday, April 2, 2020
Time: 10:00 AM Central European Time
Re-broadcast with live Q&A session
Available On Demand afterwards
Deep Learning (DL), a subset of Machine Learning, is quickly becoming a crucial technology within vehicles: from vision processing to automated driving —the DL market is expected to reach USD 18.16 Billion by 2023. DL offers better accuracy and maintainability in tasks such as object detection and classification over “traditional” computer vision algorithms, but the barriers to full implementation bring complexity and steep costs.
This webinar will show how to implement and configure the NXP eIQ™ Auto DL toolkit for optimizing and implementing DL without the need for customized hardware expertise. The eIQ Auto toolkit quantizes, prunes, and compresses Neural Networks (NN) by partitioning workload and selecting the optimum hardware to compute engines on the MPU.
Attendees will learn: