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Vincent Vanhoucke
Works at Google
Lives in San Francisco, CA
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Vincent Vanhoucke

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Rajat taking questions about TensorFlow and more on Quora.
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Vincent Vanhoucke

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Delighted to welcome +Honglak Lee to the team!
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Vincent Vanhoucke

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A neat visual explainer about the many flavors of attention mechanisms in neural networks.
Recurrent neural networks are one of the staples of deep learning, allowing neural networks to work with sequences of data like text, audio and video
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Vincent Vanhoucke

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Moritz tackles a very important issue in this post: defining goals for fairness in Machine Learning. It's trickier than it seems, but a very important topic.
Many have given up on the very concept, often arguing that machine learning isn't biased, but merely mirrors our own biases by fitting models to 'naturally occurring' biased data. That's simply not true: machine learning applied without care is inherently biased toward where there is a lot of data in the first place: think groups of people who consume more, or ethnicities that show up more often on medical records. It is something we can control and characterize however, as long as we have the proper definitions in place of what it means to a probabilistic model to be 'fair'.
As machine learning increasingly affects domains protected by anti-discrimination law, there is much interest in the problem of algorithmically measuring and...
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Michael Tetelman's profile photoSigfredo Zamorano's profile photo
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A superior figure acting as an Oracle for mankind makes sense in that context.. I bet we could find hundreds of biased Oracles everywhere soon; while probably the most respected would be the Google Oracle, given the astounding organizational culture the company possess.

Never lose it please!
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Vincent Vanhoucke

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Latest Inception released in TensorFlow!
Ok, I think we can call ImageNet busted now.
 
On the heels of yesterday's release of TF-Slim (goo.gl/72ihqC ) comes the release of Inception-ResNet-v2, a convolutional neural network (CNN) that achieves a new state of the art in terms of accuracy on the ILSVRC image classification benchmark.

Learn more in the blog post below, and in the paper Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (goo.gl/pffwqF)
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Vincent Vanhoucke

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Kickoff for next year's Google Brain Residency program!

We are excited to announce that the Google Brain Residency Program application will re-open this coming Thursday, September 1st! Our first year's program launched in October last year and we’ve received an overwhelmingly positive response. We welcomed our first cohort of 27 Google Brain Residents in June, 2016 and we're excited about the impact they're already making with the research they are conducting!

In conjunction with the application re-opening, I would like to invite you to join me at a YouTube Live event where I will be discussing the Brain Residency Program as well as presenting an overview of some of the research work being done in the Google Brain team (http://g.co/brain).

To attend this event, simply visit goo.gl/KvDkS7 and tune in tomorrow (Thursday, September 1st) at 3pm PDT. The event will last about an hour and will be filmed live where you can not only watch but also post questions in real time via chat. We will have moderators online to help answer questions as they roll in during the event.

To learn more about the program, check out http://g.co/brainresidency. Applications for next year's program will officially open on September 1st, 2016 (tomorrow).

If you have any questions, please direct them to brain-residency@google.com

I sincerely hope to see you all there!

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Vincent Vanhoucke

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When my computer freezes, I reboot the Universe.
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I'd just throw away the whole multiverse and start anew, much easier. We're all a simulation anyways :).
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Vincent Vanhoucke

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The FiveThirtyEight forecast infographics are mesmerizing.
Nate Silver's predictions and polling data for the 2016 presidential election between Hillary Clinton and Donald Trump
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Mesmerizing and getting scary!
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Vincent Vanhoucke

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File under 'Big Deals'.
Neal Stephenson's 'The Diamond Age' has a funky premise: in a future where technology had pretty much solved everything, one unsolved problem remains: generating human-sounding speech, and people called 'ractors' are hired to act out lectures delivered in spoken form.
For a while, it seemed actually believable that delivering human-sounding speech would be very hard, as synthesis technology consistently failed to deliver anything that would fool anyone for more than a few words.
Today the work from our colleagues at DeepMind feels like it's leaped over the Uncanny Valley, and then some. The examples they provide sound fantastic. This is very exciting. I am really interested to hear what very long-form text sounds like, because that remains the ultimate challenge for TTS.
This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%. We also demonstrate that the same network can be used to synthesize other audio signals such as music, and present some striking samples of automatically generate...
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Tau-Mu Yi's profile photoEzra Schroeder's profile photoGlen Shires's profile photoAndre Amorim's profile photo
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Applications for next year's Brain Residency program are now open!
More details: http://g.co/brainresidency
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Deep learning for cucumber classification!
(And to you cynics out there: no, this is not a publicity stunt, we had nothing to do with it. Sigh. Go eat more cucumbers.)
Uses of machine learning and deep learning are only limited by our imaginations. A cucumber farmer can use deep learning to sort cucumbrers. See how.
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Vincent Vanhoucke's profile photoChris Shucksmith's profile photo
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Great use of tensorflow and love the home-brew robotics
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This is a work of fiction. Any resemblance to actual persons, cats, AIs, or actual events is purely coincidental.
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Sigfredo Zamorano's profile photo
 
Lol
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Introduction

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Currently
San Francisco, CA
Previously
Public - a month ago
reviewed a month ago
Public - 2 months ago
reviewed 2 months ago
An avalanche of failures in the peak Holiday season. OpenTable booking broken, you have to go on site. Slow service. Inexperienced, confused looking staff. Tepid potato leek soup, much too salty to eat. Overcooked pasta and fries drowning in salt as well. This might have been a great restaurant in the past, but it's seemingly poorly managed.
Public - a year ago
reviewed a year ago
27 reviews
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Don't let the large 'Massage' sign on the front deter you. Quality work, courteous service, inexpensive, and performed on the spot.
Public - 2 months ago
reviewed 2 months ago
Very good food. Bring a heavy jacket in the Winter months, this place is freezing and the waiters all wear one.
Public - a year ago
reviewed a year ago
A mean hot chocolate.
Public - 2 years ago
reviewed 2 years ago