The Decade of Deep Learning | Leo Gao
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput
Created: 2019-12-31   Modified: 2020-01-04 As the 2010’s draw to a close , it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade. [1] Driven by the development of ever-more powerful compute and the increased availability of big data, Deep Learning has successfully tackled many previously intractable problems, especially in Computer Vision and Natural Language Processing. Deep Learning has also begun to see real-world application everywhere around us, from the high-impact to the frivolous, from autonomous vehicles and medical imaging to
saved by
related reading
- Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
- The Little Book of Deep Learningfleuret.org
- A History of Large Language Modelsgregorygundersen.com
- GitHub - adam-maj/deep-learning: A deep-dive on the entire history of deep-learninggithub.com
- GitHub - adam-maj/deep-learning: A deep-dive on the entire history of deep-learning · GitHubgithub.com
- An Overview of Deep Learning for Curious People | Lil'Loglilianweng.github.io
- GitHub - adam-maj/deep-learning: A deep-dive on the entire history of deep-learning · GitHubgithub.com
- The Scaling Hypothesis · Gwern.netgwern.net
- Ilya 30u30arc.net
- Understanding Deep Learningudlbook.github.io
- The Unreasonable Effectiveness of Recurrent Neural Networkskarpathy.github.io
- [2604.21691] There Will Be a Scientific Theory of Deep Learningarxiv.org