neural network – Page 12 – Andrew Fairless, Ph.D.

What I Read: How diffusion models work

By Andrew Fairless on November 30, 2022October 20, 2022

https://theaisummer.com/diffusion-models/ How diffusion models work: the math from scratchSergios Karagiannakos, Nikolas Adaloglouon2022-09-29 “Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images.”

What I Read: Illustrated Stable Diffusion

By Andrew Fairless on November 29, 2022October 20, 2022

https://jalammar.github.io/illustrated-stable-diffusion/ The Illustrated Stable DiffusionJay AlammarVisualizing machine learning one concept at a time. “The ability to create striking visuals from text descriptions has a magical quality to it and pointsContinue readingWhat I Read: Illustrated Stable Diffusion

What I Read: Chaos Researchers Can Now Predict

By Andrew Fairless on November 10, 2022September 27, 2022

https://www.quantamagazine.org/ai-algorithm-foresees-chaotic-tipping-points-20220915/ Chaos Researchers Can Now Predict Perilous Points of No ReturnBen BrubakerSeptember 15, 2022 “A custom-built machine learning algorithm can predict when a complex system is about to switch toContinue readingWhat I Read: Chaos Researchers Can Now Predict

What I Read: Transformers, Brain

By Andrew Fairless on November 9, 2022September 27, 2022

https://www.quantamagazine.org/how-ai-transformers-mimic-parts-of-the-brain-20220912/ How Transformers Seem to Mimic Parts of the BrainStephen OrnesSeptember 12, 2022 “Neural networks originally designed for language processing turn out to be great models of how our brainsContinue readingWhat I Read: Transformers, Brain

What I Read: Neural Tangent Kernel

By Andrew Fairless on November 2, 2022September 27, 2022

https://lilianweng.github.io/posts/2022-09-08-ntk/ Some Math behind Neural Tangent KernelLilian WengSeptember 8, 2022 “Neural tangent kernel… leads to great insights into why neural networks with enough width can consistently converge to a globalContinue readingWhat I Read: Neural Tangent Kernel

What I Read: Zero-Shot, K-Shot Learning

By Andrew Fairless on October 18, 2022September 9, 2022

https://www.datature.io/blog/zero-shot-and-k-shot-learning Comprehensive Guide to Zero-Shot and K-Shot LearningLeonard SoAugust 23, 2022 “Few-shot learning is a type of supervised learning that is intended to rapidly generalise to new tasks containing onlyContinue readingWhat I Read: Zero-Shot, K-Shot Learning

What I Read: Backpropagation, Chain Rule

By Andrew Fairless on October 13, 2022September 9, 2022

Backpropagation ≠ Chain Rule Backpropagation ≠ Chain RulePosted on December 16, 2021by Lunjia Hu “…a common belief that “backpropagation is just applying the chain rule repeatedly”. While this is in aContinue readingWhat I Read: Backpropagation, Chain Rule

What I Read: AI, Limits, Language

By Andrew Fairless on October 12, 2022September 9, 2022

https://www.noemamag.com/ai-and-the-limits-of-language/AI And The Limits Of LanguageBy Jacob Browning and Yann LeCunAugust 23, 2022 “An artificial intelligence system trained on words and sentences alone will never approximate human understanding.”

What I Read: Emergent Features

By Andrew Fairless on October 6, 2022August 22, 2022

LLM.int8() and Emergent Features LLM.int8() and Emergent Features2022-08-17 by Tim Dettmers “…I use advanced quantization methods to achieve no performance degradation transformer inference at scale that makes large models moreContinue readingWhat I Read: Emergent Features

What I Read: Self-Taught AI, Brain

By Andrew Fairless on October 4, 2022August 22, 2022

https://www.quantamagazine.org/self-taught-ai-shows-similarities-to-how-the-brain-works-20220811/ Self-Taught AI Shows Similarities to How the Brain WorksAnil AnanthaswamyContributing WriterAugust 11, 2022 “Self-supervised learning allows a neural network to figure out for itself what matters. The process mightContinue readingWhat I Read: Self-Taught AI, Brain

Tag: neural network