Hinton, G. E., Osindero, S. and Teh, Y. (2006) A fast learning algorithm for deep belief nets. Neural Computation, 18, pp 1527-1554. [ pdf ] Movies of the neural network generating and recognizing digits Hinton, G. E. and Salakhutdinov, R. R. (2006) Reducing the dimensionality of data with neural networks.
Geoffrey E. Hinton Neural Network Tutorials COMPANIES AT&T Bell Labs (2 day), 1988 Apple (1 day), 1990 Digital Equipment Corporation (2 day), 1990 Government of Canada (2 day), 1994 PUBLIC A two-day intensive Tutorial on Advanced Learning Methods. Presented by Geoffrey Hinton and Michael Jordan
Tutorial 1: Variational Autoencoders (VAEs) Tutorial 2: Introduction to GANs Tutorial 3: Conditional GANs and Implications of GAN Technology Bonus Tutorial: Deploying Neural Networks on the Web Bonus Lecture: Geoffrey Hinton Natural Language Processing Time Series And Natural Language Processing (W2D5) Attention And Transformers (W3D1)
Geoffrey Hinton is known by many to be the godfather of deep learning. Aside from his seminal 1986 paper on backpropagation, Hinton has invented several foundational deep learning techniques throughout his decades-long career. Hinton currently splits his time between the University of Toronto and Google Brain.
Jan 9, 2020 · Software engineer, Full Stack Developer, Machine Learning Expert, Cybersecurity Centered Guy, Cryptocurrency Enthusiast, Hobbyist Game Dev, and Lifelong Learner More from Medium The PyCoach in...
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