Neural networks that learn non-linearity without activation functions [pdf] (tahabouhsine.com)

Screenshot of tahabouhsine.com: Neural networks that learn non-linearity without activation functions [pdf]

First screen, captured 1 year ago.

Looks similar

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

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

412 points by Anon84 2 years ago | 132 comments

arXiv listing for a book by Jentzen, Kuckuck, and von Wurstemberger giving a mathematically rigorous introduction to deep learning methods, implementations, and theory.

deep-learning neural-networks optimization mathematics

Screenshot of home.csulb.edu: Minds, brains, and programs (1980) [pdf]

Minds, brains, and programs (1980) [pdf](home.csulb.edu)

91 points by measurablefunc 1 year ago | 35 comments

Screenshot of zionbasque.com: Decompiling the Synergy: Human–LLM Teaming in Reverse Engineering [pdf]

Decompiling the Synergy: Human–LLM Teaming in Reverse Engineering [pdf](zionbasque.com)

38 points by matt_d 10 months ago | 1 comments

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 explained.ai: The Matrix Calculus You Need for Deep Learning

The Matrix Calculus You Need for Deep Learning (explained.ai)

52 points by Anon84 1 year ago | 1 comments

Screenshot of physicalintelligence.company: Knowledge Insulating Vision-Language-Action Models: Train, Run Fast, Generalize [pdf]

Knowledge Insulating Vision-Language-Action Models: Train, Run Fast, Generalize [pdf](physicalintelligence.company)

6 points by arunc 11 months ago | 0 comments