The NVIDIA RTX 3090 is a beast. We all know it can beat the benchmarks in gaming, but how about machine learning and neural networks? Today we walk through the RTX 3090 and then compile and run Darknet, an open source neural network, on Windows and then Ubuntu Linux and run object detection on pictures, images, and real-time video. You will be amazed at how much more you can get out of your video card than just gaming! Video Notes: https://technotim.live/posts/3090-machine-learning/ ► See the entire Kit here https://kit.co/technotim/video-cards-for-machine-learning-gaming Support me on Patreon: https://www.patreon.com/technotim Sponsor me on GitHub: https://github.com/sponsors/timothystewart6 Subscribe on Twitch: https://www.twitch.tv/technotim Become a YouTube member: https://www.youtube.com/channel/UCOk-gHyjcWZNj3Br4oxwh0A/join Merch Shop: https://l.technotim.live/shop Gear Recommendations: https://l.technotim.live/gear Get Help in Our Discord Community: https://l.technotim.live/discord 2nd channel: https://www.youtube.com/@TechnoTimTalks (Affiliate links may be included in this description. I may receive a small commission at no cost to you.) 00:00 - Intro 01:05 - Why would you buy the RTX 3090? 02:49 - Machine learning and neural networks with Darknet 03:52 - My First attempt with Windows 05:39 - Linux to the rescue! 06:45 - Photo object detection with Darknet 09:10 - Realtime object detection with RTSP video feed 11:24 - Wow, 3090 uses a ton of power! 12:28 - Processing videos with object detection 13:35 - Other object detection platforms 15:22 - Stream Highlight - First video card purchase where I wanted to do more than gaming #RTX3090 #MachineLearning #TechnoTim "Space Walk" is from Harris Heller's album Lights. License: https://l.technotim.live/sb-music-license Thank you for watching!

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