Search results
Lecture slides from the 2012 Coursera course: Neural Networks for Machine Learning. lecture1.pptx       lecture1.pdf lecture2.pptx       lecture2.pdf lecture3.pptx       lecture3.pdf lecture4.pptx       lecture4.pdf lecture5.pptx       lecture5.pdf lecture6.pptx       ...
- Geoffrey Hinton
Deep learning for AI. Communications of the ACM, 64 (7),...
- Geoffrey Hinton
Deep learning for AI. Communications of the ACM, 64 (7), 58-65. [ pdf] 2021 commencement address at IIT Mumbai. Joseph Turian's map of 2500 English words produced by using t-SNE on the word feature vectors learned by Collobert & Weston, ICML 2008.
- Companies
- Public
- Technology Transfer Organizations
- Conferences
AT&T Bell Labs (2 day), 1988Apple (1 day), 1990Digital Equipment Corporation (2 day), 1990Government of Canada (2 day), 1994A two-day intensive Tutorial on Advanced Learning Methods. Presented by Geoffrey Hinton and Michael Jordan Boston (Dec 1996); Los Angeles (Apr 1997); Washington (May 1997)Gatsby Computational Neuroscience Unit, University College London 1999 (4.5 hours)University College London, July 2009 (3 hours)Cambridge Machine Learning Summer School, September 2009 (3 hours)Technology Transfer Institute. 3 day tutorials presented in LosAngeles, Washington and San Francisco in 1988Ontario Information Technology Research Center (2 day), annually from 1988-1997American Association for Artificial Intelligence (half-day),1987, 1988, 1990International Joint Conference on Neural Networks (1 hour), 1990Neural Information Processing Systems Conference (2 hours), 1995Neural Information Processing Systems Conference (2 hours), 2007Oct 27, 2023 · Visionary Thinkers: Geoffrey Hinton, “Will digital intelligence replace biological intelligence?”. Friday, October 27, 2023. 7:30 PM. The Schwartz Reisman Institute for Technology and Society and the Department of Computer Science at the University of Toronto, in collaboration with the Vector Institute for Artificial Intelligence and the ...
Feb 20, 2024 · Professor Hinton’s work on neural networks shaped the AI systems of today. He was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings.
Presentation slides for AI 101 - RES.6-013. AI 101. By Brandon Leshchinskiy. Watch Mashable video about Google’s AI-based personal assistant: https://www.youtube.com/watch?v=JvbHu_bVa_g. machine learning can solve many problems. But finding the right data and training the right model can be difficult. AI. ML. Deep Learning.
We designed the model we present in this paper, based on the the needs introduced by new trends in neural computing. We created a model for information processing inside neurons. It is constructed, from a neural inside point of view, as a feedback system that controls the flow of information passing through the neuron.
