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YouTube (2010) Recent Developments in Deep Learning (1hr) TUTORIALS ....Tutorial (2009) Deep Belief Nets (3hrs) ppt pdf readings....Workshop Talk (2007) How to do backpropagation in a brain (20mins) ppt2007 pdf2007 ppt2014 pdf2014 : 2012 COURSERA COURSE LECTURES: Neural Networks for Machine Learning ....Lectures(.mp4) ....Lecture Slides(.pptx ...
- Current PhD and Master's Students
YouTube (2010) Recent Developments in Deep Learning (1hr)...
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- Generating Digits
Hinton, G. E., Osindero, S. and Teh, Y. (2006) A fast...
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Yee-Whye Teh, Geoffrey Hinton Rate-coded Restricted...
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15b - Deep Autoencoders 15c - Deep autoencoders for document...
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Geoffrey E. Hinton's Biographical Sketch Geoffrey Hinton...
- Csc321 Winter 2014
Lecture 3c: Learning the weights of a logistic output neuron...
- Former PhD Students
Machine learning for aerial image labeling. Navdeep Jaitly...
- Csc2535 Spring 2013
Instructor: Geoffrey Hinton; email csc2535prof[at...
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YouTube (2012) Brains, Sex and Machine Learning (1hr) .......
- Current PhD and Master's Students
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[Coursera] Neural Networks for Machine Learning — Geoffrey Hinton. Colin Reckons. Learn about artificial neural networks and how they're being used for machine learning, as applied to...
![Lecture 1.3 — Some simple models of neurons [Neural Networks for Machine Learning]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7 "Lecture 1.3 — Some simple models of neurons [Neural Networks for Machine Learning]")
Lecture 1.3 — Some simple models of neurons [Neural Networks for Machine Learning]44K Views- Lecture 1.1 — Why do we need machine learning [Neural Networks for Machine Learning]207.1K Views
- Lecture 2.1 — Types of neural network architectures [Neural Networks for Machine Learning]43.9K Views
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- Lecture 2.2 — Perceptrons: first-generation neural networks [Neural Networks for Machine Learning]30.7K Views
- Lecture 2.3 — A geometrical view of perceptrons [Neural Networks for Machine Learning]24K Views
- Lecture 3.2 — The error surface for a linear neuron [Neural Networks for Machine Learning]15.1K Views
- Lecture 3.4 — The backpropagation algorithm [Neural Networks for Machine Learning]34.5K Views
- Lecture 4.3 — The softmax output function [Neural Networks for Machine Learning]63K Views
- Lecture 5.4 — Convolutional nets for object recognition [Neural Networks for Machine Learning]7.8K Views
Jan 15, 2024 · He played a pivotal role in popularizing the concept of deep learning — training systems with multiple layers of neural networks. His research showed that deep architectures could be...
Hinton is viewed as a leading figure in the deep learning community. [18] [19] [20] [21] [22] The dramatic image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky [23] and Ilya Sutskever for the ImageNet challenge 2012 [24] was a breakthrough in the field of computer vision. [25]
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