Deep Learning (DL), a subset of Machine Learning (ML), will soon become a crucial
technology within vehicles, from vision processing to automated driving. Barriers
to full implementation bring complexity and steep costs; however, DL algorithms can
assist in these challenges, especially in tasks such as object detection and
classification, over “traditional” computer vision algorithms.
This webinar will show you how to implement and configure the NXP eIQ™ Auto deep
learning toolkit, engineered to help customers optimize and implement 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.