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Machine learning (ML) processing requirements vary significantly according to workload; there is no one-size-fits-all solution. This webinar discusses how to choose the best ML software and hardware combination for your use case.
This webinar elaborates on real industry use-cases where the adoption of optimized low-level primitives for Arm processors has enabled improved performance and optimal use of heterogeneous system resources.
Learn how Arm NN and CMSIS-NN can help you develop efficient neural network applications for Cortex-M devices - and how the powerful i.MX RT processors can be used with CMSIS-NN to run applications like keyword spotting.