DeepRob: Deep Learning for Robot Perception – University of Michigan, 2023 Lectures: https://
youtube.com/playlist?list=
PLf_SmXJixhnXoMs0Qvxe500BrjfbIOwSg
… Website: https://
deeprob.org
MACHINE LEARNING
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DeepRob: Deep Learning for Robot Perception Course University Michigan
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DeepRob: Deep Learning for Robot Perception University of Michigan
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DeepRob: Deep Learning for Robot Perception – University of Michigan, 2023 An ongoing class on neural network based approaches for robot perception. The class covers advanced topics in computer vision & emerging topics in deep robotic perception. Videos:
https://
youtube.com/playlist?list=
PLf_SmXJixhnXoMs0Qvxe500BrjfbIOwSg
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Machine Learning for Remote Sensing Workshop at ICLR 2023 Kigali
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Machine Learning for Remote Sensing Workshop – ICLR 2023, Kigali Machine learning is increasingly finding many useful applications in remote sensing. The first workshop of ML for remote sensing will be held at ICLR 2023 in. Submissions are still open! https://
nasaharvest.github.io/ml-for-remote-
sensing/iclr2023/
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ICLR 2023 ML4Materials Workshop Submission Deadline in Two Weeks
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The deadline for the ICLR 2023 ML4Materials workshop is in 2 weeks — we welcome submissions on both ongoing work and work published recently. Our workshop is fully virtual this year so there are no travel requirements. https://
ml4materials.com. Please submit! -
When Machine Learning Works in Financial Markets
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Did you know machine learning models aren’t always great at predicting financial asset prices? Read what DataRobot’s Managing Director of Financial Markets Data Science says on when #ML works well (and when it doesn’t) in financial markets use cases. https://
bit.ly/3Wrg6TD -
CIFAR-10 Classification Progress: From Manual 94% to Automated Scripts
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Also reminded of this blog post from ~12 years ago. I classified CIFAR10 manually and got… 94%! SOTA then was ~80%, certainly not in 10 seconds. Then I predicted we'd top out around 85-90% (lol). 12 years later: 94% is 10 seconds with one 600-line script https://
karpathy.github.io/2011/04/27/man
ually-classifying-cifar10/
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CIFAR10 Training to 94% in Under 10 Seconds on A100
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More on cramming: CIFAR10 hyperlightspeedbench.
Train CIFAR10 to 94% in under 10 seconds on a single A100. With a single readable 600-line http://
main.py, bunch of nice tricks implemented within. -
Create Datasets with Bounding Box Annotation Using CVAT
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Learn to create Datasets using Bounding Box Annotation – With CVAT in less than 3 minutes!https://t.co/ZYfUbwIO8v#boundingbox #boundingboxes #cvat #dataset #datasets #computervision #ai #deeplearning #machinelearning #artificialintelligence pic.twitter.com/dMgLjaWzS7
— Satya Mallick (@LearnOpenCV) 30 janvier 2023Learn to create Datasets using Bounding Box Annotation – With CVAT in less than 3 minutes! https://
youtube.com/watch?v=o65dMN
iwJi8
… #boundingbox #boundingboxes #cvat #dataset #datasets #computervision #ai #deeplearning #machinelearning #artificialintelligence -
Yann LeCun Meta Extended Q&A on AI Deep Learning
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Some more of the extended Q&A with Meta’s Yann LeCun during Collective[i] Forecast two weeks ago. // @ylecun @collectivei $META @OpenAI // #AI #deeplearning #machinelearning // #ChatGPT
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VR for 3D Human Motion Data in Humanoid Robot Training
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¿Y si el interés tras el VR fuera el de obtener datos etiquetados del movimiento del cuerpo humano en 3D para distintas tareas, y usarlo para el entrenamiento de futuros robots humanoides?