• Sat. Nov 27th, 2021

Line Following And Obstacle Avoiding Robotic


Mar 4, 2021

Jul 09, 2020. Neural networks can be large, generally brimming with billions of parameters. technology information So it can be a heavy computational lift just to get an answer, let alone a confidence level. Uncertainty analysis in neural networks isn’t new. However previous approaches, stemming from Bayesian deep learning, have relied on working, or sampling, a neural community many instances over to understand its confidence. That course of takes time and reminiscence, a luxurious that may not exist in high-pace site visitors.