Resultado de búsqueda
Geoffrey Hinton designs machine learning algorithms. His aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and to show that this is how the brain learns to see.
- About
In the early 2000s, Geoffrey Hinton approached CIFAR with an...
- About
The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
In the early 2000s, Geoffrey Hinton approached CIFAR with an idea. He had been a member of CIFAR’s first program, Artificial Intelligence, Robotics & Society (founded in 1983) and he had become convinced of the power of neural networks and their potential for deep learning in machines.
Hinton, G. E. and Salakhutdinov, R. R. (2006) Reducing the dimensionality of data with neural networks. Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006.
16 de ene. de 2014 · Geoff Hinton. With just a half-a-million-dollar-a year-investment from CIFAR, Hinton's consortium of free thinkers is set to feed countless dollars back into the economy.
28 de sept. de 2019 · CIFAR son las siglas del Canadian Institute for Advanced Research, donde Alex Krizhevsky, Vinod Nair y uno de los padres de la Inteligencia Artificial, Geoffrey Hinton, recopilaron un subconjunto del conjunto de datos 80 million tiny images.
11 de jun. de 2021 · When you translate a sentence using Google, or ask Siri to send a text, or play a song recommended by Spotify, you are using a technology that owes much to the innovative research of Geoffrey Hinton. The technology is “deep learning” – a form of artificial intelligence (AI) based on neural networks.
