About This Training
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.
Learn 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.