Nando de Freitas

Nando de Freitas liked a video 2 months ago
LipNet in Autonomous Vehicles | CES 2017 - Duration: 63 seconds.

Yannis Assael

2 months ago
14,196 views

LipNet is doing lipreading using Machine Learning, aiming to help those who are hard of hearing and revolutionise speech recognition.

LipNet: End-to-End Sentence-level Lipreading
[Yannis M. Assael...
Nando de Freitas added to Favorites and liked 1 year ago
Visualizing saliency maps on Breakout - Duration: 2 minutes, 47 seconds.

Ziyu Wang

1 year ago
2,449 views
Nando de Freitas added to Favorites and liked 1 year ago
Visualizing saliency maps on Enduro. - Duration: 2 minutes, 47 seconds.

Ziyu Wang

1 year ago
1,809 views
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search - Duration: 54 minutes.

Nando de Freitas

2 years ago
30,730 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 16: Reinforcement learning and neuro-dynamic programming - Duration: 56 minutes.

Nando de Freitas

2 years ago
61,677 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation - Duration: 43 minutes.

Nando de Freitas

2 years ago
26,648 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford....
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 13: Alex Graves on Hallucination with RNNs - Duration: 53 minutes.

Nando de Freitas

2 years ago
33,604 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford....
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs - Duration: 51 minutes.

Nando de Freitas

2 years ago
75,190 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 11: Max-margin learning, transfer and memory networks - Duration: 58 minutes.

Nando de Freitas

2 years ago
19,261 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 3: Maximum likelihood and information - Duration: 1 hour, 12 minutes.

Nando de Freitas

2 years ago
48,421 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 10: Convolutional Neural Networks - Duration: 50 minutes.

Nando de Freitas

2 years ago
108,535 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 6: Optimization - Duration: 58 minutes.

Nando de Freitas

2 years ago
25,221 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 2: linear models - Duration: 48 minutes.

Nando de Freitas

2 years ago
64,286 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep learning Lecture 7: Logistic regression, a Torch approach - Duration: 44 minutes.

Nando de Freitas

2 years ago
24,577 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1) - Duration: 40 minutes.

Nando de Freitas

2 years ago
29,226 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 9: Neural networks and modular design in Torch - Duration: 53 minutes.

Nando de Freitas

2 years ago
29,630 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2) - Duration: 58 minutes.

Nando de Freitas

2 years ago
23,141 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 8: Modular back-propagation, logistic regression and Torch - Duration: 52 minutes.

Nando de Freitas

2 years ago
24,908 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas added 1 video to Talks and tutorials 2 years ago
4 videos Play all

Talks and tutorials - Playlist

Nando de Freitas

1:13:46
Nando de Freitas Lecture 2

1:05:57
Nando de Freitas Lecture 3

View full playlist (4 videos)
Nando de Freitas uploaded and added to Deep learning at Oxford 2015 2 years ago
Deep Learning Lecture 1: Introduction - Duration: 52 minutes.

Nando de Freitas

2 years ago
214,468 views

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelea...
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
Nando de Freitas created Deep learning at Oxford 2015 2 years ago
16 videos Play all

Deep learning at Oxford 2015 - Playlist

Nando de Freitas

56:04
Deep Learning Lecture 16: Reinforcement learning and neuro-dynamic programming

54:40
Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search

View full playlist (16 videos)
Nando de Freitas liked a video 2 years ago
ICLR14 Invited Talk: Vincent Vanhoucke: "Learning visual representations at scale" - Duration: 34 minutes.

ICLR

2 years ago
2,128 views

ICLR 2014 Invited Talk: Vincent Vanhoucke
"Learning visual representations at scale"
Nando de Freitas liked a video 3 years ago
A Bayesian Interactive Optimization Approach to Procedural Animation Design - Duration: 4 minutes, 36 seconds.

Eric Brochu

6 years ago
2,286 views

My video for the 2010 Symposium on Computer Animation.

In this paper, we present an optimization method for setting parameters of a procedural fluid animation system by showing the user examples o...
Nando de Freitas uploaded and added to Machine Learning 2013 4 years ago
Machine learning - Markov chain Monte Carlo (MCMC) II - Duration: 39 minutes.

Nando de Freitas

4 years ago
15,223 views

Metropolis-Hastings algorithm. Application to logistic regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by Nando de Freitas
Nando de Freitas uploaded and added to Machine Learning 2013 4 years ago
Machine learning - Importance sampling and MCMC I - Duration: 1 hour, 16 minutes.

Nando de Freitas

4 years ago
31,253 views

Importance sampling and Markov chain Monte Carlo (MCMC). Application to logistic regression.
Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html
Course taught in 2013 at UBC by ...

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Nando de Freitas

LipNet in Autonomous Vehicles | CES 2017 - Duration: 63 seconds.

Visualizing saliency maps on Breakout - Duration: 2 minutes, 47 seconds.

Visualizing saliency maps on Enduro. - Duration: 2 minutes, 47 seconds.

Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search - Duration: 54 minutes.

Deep Learning Lecture 16: Reinforcement learning and neuro-dynamic programming - Duration: 56 minutes.

Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation - Duration: 43 minutes.

Deep Learning Lecture 13: Alex Graves on Hallucination with RNNs - Duration: 53 minutes.

Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs - Duration: 51 minutes.

Deep Learning Lecture 11: Max-margin learning, transfer and memory networks - Duration: 58 minutes.

Deep Learning Lecture 3: Maximum likelihood and information - Duration: 1 hour, 12 minutes.

Deep Learning Lecture 10: Convolutional Neural Networks - Duration: 50 minutes.

Deep Learning Lecture 6: Optimization - Duration: 58 minutes.

Deep Learning Lecture 2: linear models - Duration: 48 minutes.

Deep learning Lecture 7: Logistic regression, a Torch approach - Duration: 44 minutes.

Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1) - Duration: 40 minutes.

Deep Learning Lecture 9: Neural networks and modular design in Torch - Duration: 53 minutes.

Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2) - Duration: 58 minutes.

Deep Learning Lecture 8: Modular back-propagation, logistic regression and Torch - Duration: 52 minutes.

Talks and tutorials - Playlist

Nando de Freitas Lecture 2

Nando de Freitas Lecture 3

Deep Learning Lecture 1: Introduction - Duration: 52 minutes.

Deep learning at Oxford 2015 - Playlist

Deep Learning Lecture 16: Reinforcement learning and neuro-dynamic programming

Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search

ICLR14 Invited Talk: Vincent Vanhoucke: "Learning visual representations at scale" - Duration: 34 minutes.

A Bayesian Interactive Optimization Approach to Procedural Animation Design - Duration: 4 minutes, 36 seconds.

Machine learning - Markov chain Monte Carlo (MCMC) II - Duration: 39 minutes.

Machine learning - Importance sampling and MCMC I - Duration: 1 hour, 16 minutes.

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Nando de Freitas

LipNet in Autonomous Vehicles | CES 2017 - Duration: 63 seconds.

Visualizing saliency maps on Breakout - Duration: 2 minutes, 47 seconds.

Visualizing saliency maps on Enduro. - Duration: 2 minutes, 47 seconds.

Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search - Duration: 54 minutes.

Deep Learning Lecture 16: Reinforcement learning and neuro-dynamic programming - Duration: 56 minutes.

Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation - Duration: 43 minutes.

Deep Learning Lecture 13: Alex Graves on Hallucination with RNNs - Duration: 53 minutes.

Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs - Duration: 51 minutes.

Deep Learning Lecture 11: Max-margin learning, transfer and memory networks - Duration: 58 minutes.

Deep Learning Lecture 3: Maximum likelihood and information - Duration: 1 hour, 12 minutes.

Deep Learning Lecture 10: Convolutional Neural Networks - Duration: 50 minutes.

Deep Learning Lecture 6: Optimization - Duration: 58 minutes.

Deep Learning Lecture 2: linear models - Duration: 48 minutes.

Deep learning Lecture 7: Logistic regression, a Torch approach - Duration: 44 minutes.

Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1) - Duration: 40 minutes.

Deep Learning Lecture 9: Neural networks and modular design in Torch - Duration: 53 minutes.

Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2) - Duration: 58 minutes.

Deep Learning Lecture 8: Modular back-propagation, logistic regression and Torch - Duration: 52 minutes.

Talks and tutorials - Playlist

Nando de Freitas Lecture 2

Nando de Freitas Lecture 3

Deep Learning Lecture 1: Introduction - Duration: 52 minutes.

Deep learning at Oxford 2015 - Playlist

Deep Learning Lecture 16: Reinforcement learning and neuro-dynamic programming

Deep Learning Lecture 15: Deep Reinforcement Learning - Policy search

ICLR14 Invited Talk: Vincent Vanhoucke: "Learning visual representations at scale" - Duration: 34 minutes.

A Bayesian Interactive Optimization Approach to Procedural Animation Design - Duration: 4 minutes, 36 seconds.

Machine learning - Markov chain Monte Carlo (MCMC) II - Duration: 39 minutes.

Machine learning - Importance sampling and MCMC I - Duration: 1 hour, 16 minutes.

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