Why We Need Machine Learning: An Introduction to Neural Networks

Name: Why We Need Machine Learning: An Introduction to Neural Networks
Uploaded: 2016-02-05T07:37:01.000Z
Duration: 13 min 15 s
Channel: Geoffrey Hinton
Description: Geoffrey Hinton introduces the fundamental motivations for machine learning, setting the stage for a comprehensive exploration of neural networks and their role in…

Geoffrey Hinton

University of Toronto·Geoffrey Hinton

13:15

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Why We Need Machine Learning: An Introduction to Neural Networks

Geoffrey Hinton University of Toronto

13:15·2016·undergraduate·Standalone Lecture

Geoffrey Hinton introduces the fundamental motivations for machine learning, setting the stage for a comprehensive exploration of neural networks and their role in modern artificial intelligence.

Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012.

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AI & ML Deep Learning Neural Networks & Backpropagation Introduction to AI Toronto Machine

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Geoffrey Hinton

Website Scholar

Turing Award Laureate, VP & Engineering Fellow, Google

University Professor Emeritus at Toronto receiving both the ACM Turing Award and Nobel Prize in Physics for foundational neural network architectures.

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Deep Learning

Ian Goodfellow, Yoshua Bengio et al.

Co-authored by Turing Laureate Yoshua Bengio—the foundational MIT Press reference on representation learning, optimization, and convolutional architectures.

MIT Press·2016·1st Edition