DIY Lego Sorting
Francisco shares his surprising success in training a neural network to sort Lego bricks with over 85% accuracy, despite using low-resolution images. He delves into the challenges of mechanical design, revealing how he fabricated custom parts, including conveyor belts, with the help of a 3D printer and YouTube tutorials. The journey was not only a technical feat but also a fun family project, with his kids joining in to help.In this clip
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The AI Podcast
Sort Circuit: How GPUs Helped One Man Conquer His Lego Pile - Ep. 77
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