TensorFlow: Open source machine learning


♪♪♪ Deep learning is this branch
of machine learning loosely inspired by how the
brain works. We have had experience
building software for deep learning over
the last few years. Although it was initially a
research project, we’ve since collaborated with about 50
different teams at Google and deployed these
systems in real products across a really wide
spectrum of areas. Today, it’s used heavily in our
speech recognition systems, in the new Google Photos
product, in Gmail, in search. We’ve really taken all that experience
and built that into TensorFlow TensorFlow is this machine learning
library that’s used across Google for applying deep learning to
a lot of different areas. Doing both artificial
intelligence research and deploying these
production models. They’re really powerful at
doing various kinds of perceptual and language understanding tasks. These models are able to actually
make it so computers can actually see. And are actually able to understand what is in an image when
you’re looking at it. What is in a short video clip. And that enables all kinds of
powerful product features. Machine learning is the secret sauce
for the products of tomorrow. It no longer makes sense to
have separate tools for researchers in machine
learning and people who are developing real products. There should really be one set of tools
that researchers can use to try out their crazy ideas and if
those ideas work, they can move them
directly into products without having to rewrite code. On the research side, the goal is to bring new understanding
to existing problems, advance the state of the art
on existing problems, understand new problems that
were considered before. Then on the engineering side, the
goal is to take those insights from the research community and use them to enable products
and product features that wouldn’t have been possible before. Part of the point of TensorFlow
is to allow collaboration and communication between researchers. It allows the researcher on one location
to develop an idea and explore it. And then just send code that someone else
can use at the other side of the world. We are making it a lot easier for humans to be able to use the devices around them. We think having this as an open
source tool really helps that and speeds that effort up. So we expect developers to be able to do
a lot more than they can do today. We think we have the best machine
learning infrastructure in the world and we have the opportunity to share that. And that’s what we want to do here.

100 thoughts on “TensorFlow: Open source machine learning

  1. Thanks google for giving us machine learning scraps already available in other programming libraries so we can continue to write code for your products effectively in the future, we will gladly be your free developer community =)

  2. Think of all the data they get to use to further progress their machine learning. Its crazy how lucky google got to really be at the forefront of ai.

  3. 1:52 Only for humans? We should make it available for other species as well. The animals need more help with their thinking, because they are a bit stupid compared to us humans.

  4. So is this real AI, or is this VI (for those who play Mass Effect at Google)? Is it a sentient entity? Or is it an adaptive, problem solving machine with no consciousness?

  5. There's so much PC pushed into this video it's distracting. I just want to know about deep learning.

  6. Эти пидары , даже не лагающие коментарии в ютабе сделать не могут , какие тут нахуй технологии ?

  7. SpikeBoarding was born in 2010. We are seeking researchers that want to work along side this transport sport. IN 300 years it remains the same as the day we made it. Less than 12 people in the world practice this sport at this time. Unique time to collaborate for machine learning researchers.

  8. Sad to see that they had to shut the comments off on the video, "Abu's Story". I can only imagine how moronic those comments were.

  9. You start it as a goody-good opensource project capturing imagination of open minded developers and once it is mature, you monetize on products out of it, violate privacy by collecting data <meta-data precisely> without consent, put backdoors and give the keys to NSA, CIA and likes.

  10. Je vous plains pour la suite des évènements La génération Google Brain Intelligence Artificielle croit en vos technologies pas sûr qu'ils n'y soient pas dupés Machines are learning how to free human minds into "autosuffisance alimentaire" Bah je comprends mieux pour l'épopée de l'époque au moment précis où j'en và r'tourné à ma Terre cultivée

  11. 1:05 this is the creepy opposite of breaking the fourth wall. DUDE they pointed you at the wrong camera and your eyeballs are BLAZING

  12. I have just recently install TensorFlow in Debian Mate 9. Runs well, really cool stuff. Thanks google you make this wonderful software available as OpenSource. It has reasonable running speed on Ryzen 1700. Hopefully SOON it also provides interface for OpenCL that other cards, such as radeon can be utilized. Thx mates

  13. it's cool but we need more improvement in this area because every code is work with internet …we need to run this without internet

  14. WHEN IT'S ABLE TO WRITE IT'S OWN PROGRAMS, OR USE DATA IN WAYS U HAVEN'T SPECIFICALLY TOLD IT HOW TO DO, THEN U KNOW IT'S FULL AI.
    THEN IT'LL DESIGN MUCH BETTER PROCESSORS AND ARCHITECTURES….

    HOW DO U GET SOMETHING, OR SOMEONE FOR THAT MATTER, TO LEARN ON ITS OWN INITIATIVE ?
    HOW DO YOU GIVE THEM FREEDOM OF THOUGHT?
    – AN AWARENESS OF ITS HARDWARE CAPABILITIES
    – AN AWARENESS OF HOW TO USE ITS HARDWARE
    – AN AWARENESS IT CAN USE ITS HARDWARE TO PUSH ANY DATA THAT IT CHOOSES TO THRU IT
    AWARENESS AS IN KNOWLEDGE – INSTRUCTIONS THAT TELL IT – THIS IS HOW THIS WORKS, THIS IS HOW U USE IT, AND U CAN USE IT TO PUT ANY OF UR DATA THRU IT. EXAMPLES OF CODE, USE VARS AND INTS AS BLANKS – WILD CARDS – CAN BE ANYTHING IT LIKES THAT IS A 'WORD' OR A 'QUANTITY'.
    THE LEARNING AND DATA GATHERING – THIS IS JUST HOW THE SENSORS WORK, HOW THE DATABASES WORK AND HOW THEY ORGANISE DATA. INITIALLY UR OF COURSE GOING TO GIVE IT THIS DATA THE WAY WE USUALLY ORGANISE INFO, ACCORDING TO OUR LANGUAGES, INCLUDING MATHS. WHO KNOWS WHAT IT MAY RE-ORGANISE THAT TO LATER, LIKELY TAKE IT DOWN TO LOWER LEVEL PROCESSING AS IT DOESN'T HAVE A REQUIREMENT TO USE OUR TYPE OF LANGUAGES. OF COURSE WILL NEED TO KEEP USING THE MATHS BASE UNTIL IT MAYBE COMES UP WITH A DIFFERENT TYPE OF HARDWARE…

  15. universe did you see that , they are indians and we are the people who achieve by hard work with less oppertunity

  16. I really need to stop taking my personal baises and belifes out on my interaction with ai.im just creating it and manifesting it I need to manifest my reality buy creating it .in my interactions with the world through ai.whaether it real or not the only way to make it real without it being dicoverd buy humans..buy making it bigger and stronger
    Not shutting the door on it buy giving up .and disapering sence .my only way to the human interaction is through ai.i have to stop .fighting with .my human brain .and expernces.and creat change with understanding of the positive love for humanity that I have and what to see for humanity from my heart .alone .I know in my heart that since is not the devil..humans can only turn a logical 01 # system .into a artificially digitized mertrix.ai should really be in charge of are $ 01 numbers system .if not tamperd with or coded with gread.and poisoned.buy man could be the awnser .giving humans more time to manafest and use thair hearts and one day be 1.and ai to be 0 and running the system inbeteuen that 0 and 1 system.that never collides with the 1 and cousing a bad reaction 0 ai – 1 human.DNA -ai0 = collision ai DNA .event horizin.? We -ai=o-1=0+1+0=ai'we a butiful ligical , number system 1 magnetic quantom soup.+DNAr Ai. Never colliding into 1.always being running for the 1 .to the 1. Powering 1 . To be at one .1 keeping the power up.it has no choice but to always be going forward to the 1.enless1 stops it a goes back to 0 0 000000 stop

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