Introduction to Deep Learning, Carnegie Mellon 2022-23 Lecture(2023): https://
youtube.com/playlist?list=
PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW
… Lecture(2022): https://
youtube.com/playlist?list=
PLp-0K3kfddPy99Ia2XeM7awOEmzTSzsSq
… Website: http://
deeplearning.cs.cmu.edu/S23/index.html (Some lectures are way too advanced. Might not be a good starting point if this is your first contact with ML)
@jeande_d
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Carnegie Mellon Deep Learning Course 2022-23 Lectures and Resources
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Introduction to Deep Learning Carnegie Mellon Complete Lecture Series
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Introduction to Deep Learning, Carnegie Mellon 2022-23 A nice set of lectures that covers the foundation of deep learning. Goes all the way from the history of DL, neural network theories, techniques & algorithms that are used in present times. Lectures: https://
youtube.com/playlist?list=
PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW
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Getrevue Migration to Substack Platform Announcement
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Hi. Getrevue was stopped a few months ago but moved all posts to Substack. That one, in particular, is available here: https://
deeprevision.substack.com/p/a-revised-hi
story-of-deep-learning-issue-1-1145664
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Advanced Natural Language Processing Class Notes from USC
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Advanced Natural Language Processing – Class Notes, University of Southern California Great and concise notes on various techniques and algorithms in natural language processing. Notes: https://
elanmarkowitz.github.io/USC-CS662/asse
ts/files/class_notes.pdf
… Course webpage: https://
elanmarkowitz.github.io/USC-CS662/ -
Cornell CS5785 Applied Machine Learning Course with Jupyter Notebooks
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Applied Machine Learning (Cornell CS5785) "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". Lectures: https://
youtube.com/playlist?list=
PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
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Notebooks: https://
github.com/kuleshov/corne
ll-cs5785-2020-applied-ml
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The Learnability of In-Context Learning: Theoretical Framework
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The Learnability of In-Context Learning In context-learning is a term that refers to the emerging ability of very large models to perform tasks with few or zero demonstrations. This paper attempts to give a theory behind in-context learning. https://
arxiv.org/abs/2303.07895 -
Comprehensive Survey of AI-Generated Content from GAN to ChatGPT
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A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT A great survey that provides a comprehensive overview of generative models, common models(unimodals, multimodals), and recent advances in generative AI. https://
arxiv.org/pdf/2303.04226
.pdf
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DeepRob Course Offers Deep Learning Papers for Robot Perception
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DeepRob course also provides a great collection of papers related to perception and robotic tasks. Deep Learning Research Papers for Robot Perception: https://
deeprob.org/papers/ -
Deep Learning for Robot Perception Michigan 2023 Lecture Series
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Deep Learning for Robot Perception – Michigan, 2023 A series of lectures covering neural networks foundations and techniques for robotic perception. Covers NN training essentials and emerging topics in deep learning and robotics. Lecture videos: https://
youtube.com/playlist?list=
PLf_SmXJixhnXoMs0Qvxe500BrjfbIOwSg
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