Google is open sourcing TensorFlow, its machine learning system. This is huge news, for at least a few reasons:
Originally shared by Matt Cutts
Google is open sourcing TensorFlow, its machine learning system. This is huge news, for at least a few reasons:
1. Machine learning is going to have a massive impact on the world. We've already seen that in areas from voice recognition to image understanding to language translation. In many ways, applying machine learning to problems unlocks all kinds of new opportunities. Tons of niches would support specialized startups applying machine learning to specific domains.
2. In the past, Google has released papers--like the famous MapReduce paper. MapReduce spawned entire cottage industries such as Hadoop as smart folks outside Google wrote code to match Google's paper. But the results still suffered from a telephone-like effect as outside code ran into issues that may have already been resolved within Google. This time, Google is releasing its own code. This offers a massive set of possibilities, without reinventing the wheel.
3. In many ways, machine learning has been an example of "secret sauce." I'm incredibly excited that Google is releasing technology so that the entire world can benefit, not just Google. It's the kind of decision that makes me proud of Google and its people.
Smart people and smart companies often succeed by noticing when something has changed in the world, because change unlocks new opportunities. Well, something has changed. If you're still in school, starting out, or working at a smart company, please think hard about how you could make the world better by applying machine learning to an important issue or a problem that you know well. With TensorFlow now open source, you have a great new tool at your disposal.
https://googleblog.blogspot.com/2015/11/tensorflow-smarter-machine-learning-for.html?m=1
Google is open sourcing TensorFlow, its machine learning system. This is huge news, for at least a few reasons:
1. Machine learning is going to have a massive impact on the world. We've already seen that in areas from voice recognition to image understanding to language translation. In many ways, applying machine learning to problems unlocks all kinds of new opportunities. Tons of niches would support specialized startups applying machine learning to specific domains.
2. In the past, Google has released papers--like the famous MapReduce paper. MapReduce spawned entire cottage industries such as Hadoop as smart folks outside Google wrote code to match Google's paper. But the results still suffered from a telephone-like effect as outside code ran into issues that may have already been resolved within Google. This time, Google is releasing its own code. This offers a massive set of possibilities, without reinventing the wheel.
3. In many ways, machine learning has been an example of "secret sauce." I'm incredibly excited that Google is releasing technology so that the entire world can benefit, not just Google. It's the kind of decision that makes me proud of Google and its people.
Smart people and smart companies often succeed by noticing when something has changed in the world, because change unlocks new opportunities. Well, something has changed. If you're still in school, starting out, or working at a smart company, please think hard about how you could make the world better by applying machine learning to an important issue or a problem that you know well. With TensorFlow now open source, you have a great new tool at your disposal.
https://googleblog.blogspot.com/2015/11/tensorflow-smarter-machine-learning-for.html?m=1
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