AI Research Experience – Harvard CS197 AI Research course and book that teaches how to do cutting-edge research, research workflows, and using tools commonly used in AI research(like PyTorch, Lightning, Hugging Face, and more). Course book: https://
cs197.seas.harvard.edu
@jeande_d
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Harvard CS197: AI Research Experience Course and Book
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Draft PDF Chapters 1-18 Released for Understanding Deep Learning
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Look at "Draft PDF Chapters 1-18" https://
github.com/udlbook/udlboo
k/releases/download/v0.5.2/UnderstandingDeepLearning_24_01_23_C.pdf
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Friendly Introductory Book on Understanding Deep Learning
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From its introduction, the book is friendly. No heavy proofs, uses simple language that is easier to understand, etc…If you are looking for an introductory book, this one might be for you. There are also resources for instructors(like slides). https://
udlbook.github.io/udlbook/ -
Mobile Robotics Course from University of Michigan with Videos and Code
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Mobile Robotics – University of Michigan, 2022 A course that covers maths and algorithms behind state-of-the-art robotic systems. Lecture videos: https://
youtube.com/playlist?list=
PLdMorpQLjeXmbFaVku4JdjmQByHHqTd1F
… Github: https://
github.com/UMich-CURLY-te
aching/UMich-ROB-530-public
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Mobile Robotics Course: Probabilistic Reasoning and Geometric Techniques
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Mobile Robotics – University of Michigan, 2022 A great series of lectures on theory and applications of probabilistic reasoning and geometric techniques for autonomous mobile robots. Covers algorithms behind state-of-the-art robotic systems. Lectures: https://
youtube.com/playlist?list=
PLdMorpQLjeXmbFaVku4JdjmQByHHqTd1F
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Deep Learning Tuning Playbook: Optimizing Models and Compute Budget
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Deep Learning Tuning Playbook will be incredibly useful to scientists and engineers who are looking to get the most of the models, dataset, and their compute budget. https://
github.com/google-researc
h/tuning_playbook
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Deep Learning Tuning Playbook: Tips and Tricks for Neural Networks
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Deep Learning Tuning Playbook There are substantial number of tricks involved in training large neural networks & there are not so many resources for learning those tricks. This playbook covers tips & tricks for maximizing the performance of DL models. https://
github.com/google-researc
h/tuning_playbook
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