Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory (arxiv.org)

Screenshot of arxiv.org: Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

First screen, captured 2 years ago.

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Screenshot of explained.ai: The matrix calculus you need for deep learning (2018)

The matrix calculus you need for deep learning (2018)(explained.ai)

205 points by cpp_frog 3 years ago | 35 comments

Screenshot of arxiv.org: Matryoshka Representation Learning

Matryoshka Representation Learning (arxiv.org)

71 points by fzliu 2 years ago | 10 comments

Screenshot of arxiv.org: Machine learning and information theory concepts towards an AI Mathematician

Machine learning and information theory concepts towards an AI Mathematician (arxiv.org)

95 points by marojejian 2 years ago | 16 comments

Screenshot of arxiv.org: Chorba: A novel CRC32 implementation (2024)

Chorba: A novel CRC32 implementation (2024)(arxiv.org)

56 points by fnands 8 months ago | 15 comments

Screenshot of arxiv.org: Matrix Calculus (For Machine Learning and Beyond)

Matrix Calculus (For Machine Learning and Beyond)(arxiv.org)

160 points by ibobev 1 year ago | 27 comments

Screenshot of arxiv.org: There Will Be a Scientific Theory of Deep Learning

There Will Be a Scientific Theory of Deep Learning (arxiv.org)

320 points by jamie-simon 6 months ago | 142 comments

An arXiv position paper arguing that a scientific theory of deep learning is emerging, surveying five strands of research such as solvable models, scaling limits, and universal behaviors.

deep-learning-theory deep-learning neural-networks machine-learning

Looks similar

The matrix calculus you need for deep learning (2018)(explained.ai)

Matryoshka Representation Learning (arxiv.org)

Machine learning and information theory concepts towards an AI Mathematician (arxiv.org)

Chorba: A novel CRC32 implementation (2024)(arxiv.org)

Matrix Calculus (For Machine Learning and Beyond)(arxiv.org)

There Will Be a Scientific Theory of Deep Learning (arxiv.org)

Related stories

The Little Book of Deep Learning [pdf](fleuret.org)

Understanding Deep Learning (udlbook.github.io)

Jeff Dean: Trends in Machine Learning [video](youtube.com)

Deep Learning Is Not So Mysterious or Different (arxiv.org)

Mathematical manuscripts and supporting proof artifacts produced by OpenAI (github.com)

Understanding Machine Learning: From Theory to Algorithms (cs.huji.ac.il)