Researchers Build AI That Builds AI | Quanta Magazine
quantamagazine.org · 2,657 words · saved by 1 readers
By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.
Researchers Build AI That Builds AI | Quanta Magazine Home Researchers Build AI That Builds AI Read Later Share Copied! Comments Read Later Read Later neural networks Researchers Build AI That Builds AI By Anil Ananthaswamy January 25, 2022 By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training. Read Later Olivia Fields for Quanta Magazine Introduction By Anil Ananthaswamy Contributing Writer January 25, 2022 View PDF/Print Mode artificial intelligence computer science deep learning machine learning neural
saved by
related reading
- A Recipe for Training Neural Networkskarpathy.github.io
- Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
- Neural network training makes beautiful fractals | Jascha’s blogsohl-dickstein.github.io
- The Decade of Deep Learning | Leo Gaobmk.sh
- The Scaling Hypothesis · Gwern.netgwern.net
- Neural networks and deep learningneuralnetworksanddeeplearning.com
- [1609.09106] HyperNetworksarxiv.org
- How our data shaped neural architecture discovery, and how automation can reshape the future | Core Automationcoreauto.com
- A Recipe for Training Neural Networkskarpathy.github.io
- The Little Book of Deep Learningfleuret.org
- nn-notes.pdfboris-hanin.github.io
- Hyperparameter optimization - Wikipediaen.wikipedia.org