Selection: Deep Learning

Good materials on deep learning.

Author: Grigory Sapunov
Course
Description
Dates
1
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Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: long ago
Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. Neural...
1 October 2012, 8 weeks
Favored by 10 people
2
Uoft_logo
Uoft_logo
Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
Introductory course in machine learning by world leading expert Geoffrey Hinton. Topics include: linear regression and classification, neural networks, clustering, decision trees, gaussian processes, deep belief nets and more
Free schedule
Favored by 1 person
3
Uoft_logo
Uoft_logo
Tijmen Tieleman, Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In this course, we study neural networks of various types. Topics include: neural network architectures, perceptrons, the backpropagation algorithm, neuro-probabilistic language models, convolutional nets for digit recognition, mini-batch gradient descent, the momentum method, recursive neural networks...
Free schedule
Favored by 3 people
4
Uoft_logo
Uoft_logo
Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
Advanced course in machine learning by world leading expert Geoffrey Hinton. Topics include: graphical models, Restricted Boltzmann machines, Object Recognition in Deep Neural Nets, Recurrent neural networks, Non-linear Dimensionality Reduction and more.
Free schedule
Favored by 4 people
5
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Visionlablogo
Fei-Fei Li, Andrej Karpathy
Stanford
Computer Science
Gb Free
Course added: 19 January 2015
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments...
5 January 2015, 11 weeks
4 January 2016, 11 weeks
1 March 2017
Favored by 6 people
6
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Nlp-logo
Richard Socher
Stanford
Computer Science
Gb Free
Course added: 26 July 2015
Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement...
30 March 2017, 10 weeks
Favored by 7 people
7
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400px-nvidia_logo.svg
Nvidia
Computer Science
Gb Free
Course added: 19 July 2015
Deep learning is a rapidly growing segment of artificial intelligence. It is increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition...
22 July 2015, 11 weeks
Favored by 4 people
8
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Andrew Ng
Stanford University
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 21 May 2015
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive...
Free schedule
Favored by 1 person
9
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National Taiwan University
Computer Science
Cn Paid Free
Course added: 1 November 2014
The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical...
10 November 2015, 8 weeks
10
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Yann LeCun
New York University
Computer Science
Gb Free
Course added: 26 July 2015
Lectures from the NYU Course on Deep Learning (Spring 2014) This is a graduate course on deep learning, one of the hottest topics in machine learning and AI at the moment. In the last two or three years, Deep learning has revolutionized speech recognition and image recognition. Deep learning is...
27 January 2014, 16 weeks
Favored by 1 person
11
Nips-2013-poster-thumbnail
Nips-2013-poster-thumbnail
This tutorial will look at how deep learning methods can be applied to problems in computer vision, most notably object recognition. It will start by motivating the need to learn features, rather than hand-craft them. It will then introduce several basic architectures, explaining how they learn features...
Free schedule
Favored by 1 person
12
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Photo
Yasser Abu-Mostafa
Caltech
Computer Science
Gb Free
Course added: 26 July 2015
This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications. Machine learning (ML) enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML techniques...
Free schedule
Favored by 1 person
13
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Compsci_logo_landscapel_rgb_corrected
Nando de Freitas
University of Oxford
Computer Science
Gb Free
Course added: 27 July 2015
A course taught in 2015 at Oxford University with the help of Brendan Shillingford. The course focuses on the exciting field of deep learning. By drawing inspiration from neuroscience and statistics, it introduces the basic background on neural networks, back propagation, Boltzmann machines, autoencoders...
Free schedule
Favored by 1 person
14
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Photo-larocheh
Hugo Larochelle
Université de Sherbrooke
Computer Science
Gb Free
Course added: 10 February 2016
These are the videos I use to teach my Neural networks class at Université de Sherbrooke
Free schedule
Favored by 1 person
15
Pfuiqeys6ouoragbnwqm2666udjrh4d1s9zsdhmlrwep2lkhvux5tbbkkpcakrkkmntmcixkzzjvx2zsjg=s0#w=1200&h=738
Pfuiqeys6ouoragbnwqm2666udjrh4d1s9zsdhmlrwep2lkhvux5tbbkkpcakrkkmntmcixkzzjvx2zsjg=s0#w=1200&h=738
Udacity
Gb Free
Course added: 20 February 2016
Learn how to apply deep learning to solve complex problems. Train and test your models in TensorFlow, including convolutional and recurrent neural networks.
Free schedule
Favored by 3 people
16
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713104_d4cb
Udemy
Business & Management
Gb Paid
Course added: 20 February 2016
The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow
Free schedule
Favored by 1 person
17
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Nn-1
Arseny Moskvichev, Анастасия Миллер
Stepik
Ru Free
Course added: 23 December 2015
В рамках данного курса слушатели познакомятся с теоретическими и практическими основами искусственных нейронных сетей. Слушатели научатся применять нейронные сети для решения широкого круга задач из области анализа данных. Курс входит в онлайн-программу по анализу данных.
Coming soon, Free schedule
Favored by 6 people
18
Dave_silver
Dave_silver
David Silver
University College London
Computer Science
Gb Free
Course added: 12 March 2016
Advanced Topics 2015 (COMPM050/COMPGI13): Reinforcement Learning
Free schedule
Favored by 2 people
19
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Rounded_corners
Arthur Gretton (with Zoltan Szabo, Kacper Chwialkowski)
University College London
Computer Science
Gb Free
Course added: 12 March 2016
Advanced Topics in Machine Learning: COMPGI13 (kernel part)
Free schedule
Favored by 2 people
20
Me
Me
John Schulman, Pieter Abbeel
UC Berkeley
Computer Science
Gb Free
Course added: 12 March 2016
Deep Reinforcement Learning
Free schedule
Favored by 3 people

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