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Realtime Deep Learning for Self-Driving Cars: Making the Mass Production of AVs Feasible

Event: AutoSens Detroit
| Session date: Thursday 16th May
Session date: Thursday 16th May
, 2019
While deep learning was originally designed for powerful processors (e.g., NVIDIA GPUs), efficient processors must be used in order to apply deep learning on the edge, which is crucial for self-driving cars. Limitations of software optimization, algorithm optimization, and post processing Running accurate deep learning algorithms on low power processors to significantly reduce cost and improve accuracy on powerful processors
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