Inference: The Next Step in GPU-Accelerated Deep Learning – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-20T19:00:00Z http://www.open-lab.net/blog/feed/ Michael Andersch <![CDATA[Inference: The Next Step in GPU-Accelerated Deep Learning]]> http://www.open-lab.net/blog/parallelforall/?p=5777 2022-08-21T23:37:37Z 2015-11-11T22:50:00Z [stextbox id="info" float="true" align="right" width="320"]At 45 images/s/W, Jetson TX1 is super efficient at deep learning inference. Read the...]]> [stextbox id="info" float="true" align="right" width="320"]At 45 images/s/W, Jetson TX1 is super efficient at deep learning inference. Read the...

At 45 images/s/W, Jetson TX1 is super efficient at deep learning inference. Read the whitepaper. Deep learning is revolutionizing many areas of machine perception, with the potential to impact the everyday experience of people everywhere. On a high level, working with deep neural networks is a two-stage process: First, a neural network is trained: its parameters are determined using labeled��

Source

]]>
1
���˳���97caoporen����