Example collocations logo

Learning in sentence

2412 examples of Learning in a sentence

So imagine if we can help enhance their efficiency using these deep learning approaches?
It's very hard for us to estimate this, because human performance grows at this gradual rate, but we now have a system, deep learning, that we know actually grows in capability exponentially.
But if you get the grade "Not Yet", you understand that you're on a learning curve.
Now none of these companies are doing this out of altruism; they're doing it because they're learning that a certain kind of sharing is in their self-interest.
My next step is figuring out how to use artificial intelligence and machine learning to bring this project to scale and make it more accessible to other states.
The North is now learning to do more and better with less as it faces resource constraints.
And I think part of what I'm learning in this process is that one must allow oneself to feel grief.
People are questioning, people are governing themselves, people are learning to manage their own affairs, they are taking their own futures into their hands.
Learning styles are made up and are not supported by scientific evidence.
And if you didn't quite get what you were hoping for, then you can't really blame your learning style.
This idea, the effect that punishment can improve performance, was what participants thought they were testing in Milgram's famous learning and punishment experiment that you've probably heard about if you're a psychology student.
When they were interviewed after the study, all the participants said that they firmly believed that the learning and punishment study served a worthy scientific purpose which would have enduring gains for science, as opposed to the momentary, nonfatal discomfort caused to the participants.
What we need to do is assess psychological theories by seeing what predictions they make, whether that is that listening to Mozart makes you smarter, that you learn better when information is presented in your preferred learning style or whatever it is, all of these are testable empirical predictions, and the only way we can make progress is to test these predictions against the data in tightly controlled experimental studies.
But for AIVA, this process is taken from years and years of learning, decades of learning as an artist, as a musician and a composer, down to a couple of hours.
For these monks, blindly seeking answers was a vice to overcome, and learning to accept the mysteries of existence was the true path to enlightenment.
It inhibits the prefrontal cortex, which is necessary for impulse control and executive function, a critical area for learning.
And that was a huge learning for me.
It's about discovery-driven learning where you act, as opposed to plan, your way to the future.
Experiments are usually about learning.
When you get a negative outcome, you're still really learning something that you need to know.
But to make sure that they did not lose the learning of the Build it From Scratch team, Bill asked two members of that team to join a new team that was emerging to work on the next-generation system.
He admitted, "If you had forced us to all be on one team, we might have focused on proving who was right, and winning, and not on learning and discovering what was the best answer for Google."
They know how to do collaborative problem solving, they know how to do discovery-driven learning and they know how to do integrated decision making.
Our research field is called computer vision and machine learning.
As it turned out, the wealth of information provided by ImageNet was a perfect match to a particular class of machine learning algorithms called convolutional neural network, pioneered by Kunihiko Fukushima, Geoff Hinton, and Yann LeCun back in the 1970s and '80s.
This is like a small child learning to utter a few nouns.
So to teach a computer to see a picture and generate sentences, the marriage between big data and machine learning algorithm has to take another step.
One of the things that really excites me in my artistic practice and being trained as a potter is that you very quickly learn how to make great things out of nothing; that I spent a lot of time at my wheel with mounds of clay trying stuff; and that the limitations of my capacity, my ability, was based on my hands and my imagination; that if I wanted to make a really nice bowl and I didn't know how to make a foot yet, I would have to learn how to make a foot; that that process of learning has been very, very helpful to my life.
People ask me, why is it that a kid growing up in rural Australia got interested in learning Chinese?
The great thing about learning Chinese is that your Chinese teacher gives you a new name.
BackNext