- Google Senior Fellow, present
Prior to joining Google, I was at DEC/Compaq's Western Research Laboratory, where I worked on profiling tools, microprocessor architecture, and information retrieval. Prior to graduate school, I worked at the World Health Organization's Global Programme on AIDS, developing software for statistical modeling and forecasting of the HIV/AIDS pandemic.
I earned a B.S. in computer science and economics (summa cum laude) from the University of Minnesota and received a Ph.D. and a M.S. in computer science from the University of Washington. I was elected to the National Academy of Engineering in 2009, which recognized my work on "the science and engineering of large-scale distributed computer systems."
- University of WashingtonComputer Science
- University of MinnesotaComputer Science and Economics
"For contributions to the theory and practice of artificial neural networks and their application to speech recognition and computer vision."
Geoff's work underlies much of the recent success in using deep learning for making significant strides in solving difficult problems in the field of artificial intelligence.
The full list of new members this year is at http://www.nae.edu/Projects/MediaRoom/20095/149240/149788.aspx
An Arxiv paper posted yesterday at http://arxiv.org/abs/1512.00567
by my colleagues , , , , and details a bunch of improvements to the Inception image classification model that they've been working on. An ensemble of four of these models achieves 3.46% top-5 error on the validation set of the Imagenet whole image ILSVRC2012 classification task, compared with an ensemble of the initial version of Inception that won last year's 2014 Imagenet classification challenge with a 6.66% top-5 error rate (a 49% reduction in top-5 error rate).
For comparison, estimates that a well-trained human (him) can achieve about 5.1%, as detailed in his delightfully written "_What I learned from competing against a ConvNet on ImageNet_" blog post at http://karpathy.github.io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/
The latest Inception models were trained using TensorFlow, our newly open-sourced machine learning system (see http://tensorflow.org).
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This allows external developers to use same kinds of deep neural networks for image understanding as we're using internally to build products like Google Photos. You can make simple API calls where you provide an image, and we can:
*classify images* (e.g. "cheetah", "fire truck", etc.)
OCR all the text in the image ("Pierre's Cafe. The Best Croissant in Town"),
detect landmarks ("Eiffel Tower")
localize faces ("left ear at x=100 y=203", "face at x=100 y=200: happy is likely")
detect inappropriate content ("adult content probability 0.93"), and
detect brand logos ("Coca Cola logo detected at x1=100 y1=400 x2=200 y2=450").
It's really easy to use these to build pretty powerful and sophisticated applications.
Sign up for our limited preview at https://cloud.google.com/vision/ and try it out, and send feedback to firstname.lastname@example.org
Kudos to the Cloud Vision team that launched this, and to our image understanding teams that trained the underlying models, and to the Google Brain team that built the infrastructure for training these deep neural nets.
You might get quite a lot of email. Anything that can help deal with that more efficiently is a boon, and replying to email on mobile devices is especially challenging. Several people on the Google Brain team, in close collaboration with the GMail team and other teams at Google, have developed a deep LSTM neural net model to suggest automatic replies to emails that you can send with a single click.
(For now, this will be rolled out to the Inbox app for Android and iOS later this week).
Respected dear Jeff, i will briefly introduce to you.
My name is Robert Tušek and until recently I lived Hear Vinkovci in Republic
Croatia I have 23 year..Otherwise come from a family that does not have much
money, father retired housewife mother, besides pension from his father's
300eur although disabled homeland war, wounded and still has a loan to
house 1,300, sister goes to school I think it's all clear, in a word fight for life. I
worked on season 3 months and that's earned 2700eur .. When I came home
dressed as a sister goes to school bought a little book gave parents has left me
2000eur ..od these money I decided to start a business in Slavonski Brod, jdoo
Mobis company repair of mobile devices and the sale and import of the
Republic of Croatia. I put everything I had, bought the inventory, cash register,
accounting software, licensed Windows, cabinets to store, shelves. A word of
all, I found myself in trouble means that I should get money out of the CES will
not get because I CES wiped from the Bureau, without any explain, and I do
not have the right to as a new entrepreneur. I do not know what to do further,
honestly I have no more money waiting for a decision that the company is
open, I signed a lease for a year, got extension really do not know now what Mr
Local me in the center besides just me in the center of the second is service
some few kilometers from the center so you do not have a competition ..I asked
for help and Mr. Ray Dalio but he said
Unfortunately me no one wants to help no matter how hard I tried, I never in
my life asked for help and now you wonder no one wants to help even those
I gave everything I had. Everything. My parents have nothing to do the rest of
us have family who also do not want to help. very sad. We are still killed in the
floods now before you days when they were so that we have nothing. Help me,
Mr Dean Would you please.
I'd like to ask you if you can help me with a loan of any amount as you can.? I
would be more than grateful. I'm really relevant sir, and you are my last hope.
No one wants to help. What did I do all these people do not understand, and so
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not know just what next ... I have to think of something, and you're my last
chamce. Help me please, I know you can do it, is now the question is whether
you want ... Do you provide an opportunity for guys like me. my company
Mobis jdoo The money would come back to you and the means we need for the
procurement of goods (current assets), everything else I've funded. I urgently
need to be opened for the day and behold, here I am in this vast problem. If you
can help me I would greatly appreciate it if you had not yet had nothing to do,
do not get mad that I asked you.
Any good you want dear Jeff Dean
I need yours help,
I want to succeed in life, just like you, have confidence in me, give me a chance
I want to succeed in life, help me . I know there are good people who are
always willing to help , people like you
This short, intensive course provides you with all the basic tools and vocabulary to get started with deep learning. For more details, see the Research blog post linked below, and register for the course at https://goo.gl/7RdJYV.
Though "Unload PC Letter" as a future cultural touchstone might become a thing.
I'm very excited to announce the open source release of the TensorFlow machine learning library that I and many others at Google have been building.
This blog post gives an overview:
The web site has a number of tutorials and documentation about the system:
The source is on GitHub:
You might also be interested in the whitepaper we've prepared that describes TensorFlow in more detail:
We'd love to hear what people think.
Details, timeline and application process: http://g.co/brainresidency
You'll get to work with people like:
... and many others ...
Improving Photo Search: A Step Across the Semantic Gap
Posted by Chuck Rosenberg, Image Search Team Last month at Google I/O, we showed a major upgrade to the photos experience: you can now easil
The Tree of Life: YHGTBFKM: Ecological Society of America letter regardi...
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