Sentences with phrase «deep learning are»

AI and deep learning are transforming the way we understand software, making computers more intelligent than we could imagine even a decade ago.

AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago.

The approaches we discussed as useful for surface and deep learning aren't very helping in facilitating transfer.

Many of the most exciting new attempts to apply deep learning are in the medical realm (see sidebar).

«The opportunities for new discoveries in the field of deep learning are very exciting, and the applications are endless,» said Google engineering fellow Geoffrey Hinton, who will serve as Vector's chief scientific advisor, in a statement.

Deep learning is being touted as a way forward for climate science, medicine and genomics; it's already embedded in the way you search for something online, when you Google image search for, say, «cat,» and feline photos come up as a result of AI learning of what «cat» means.

These days, deep learning is all the rage.

Deep learning is a killer technology.

This new way of doing AI called deep learning is so tractable, so understandable — a tool you can apply so that you can create one single network to be trained to learn multiple languages and animals and things.

Deep learning is the other paradigm.

Deep learning is exactly that — a framework for artificial intelligence to be applied by engineers.

Venture capitalists, who didn't even know what deep learning was five years ago, today are wary of startups that don't have it.

Accenture joins the countless other analysts, technologists, and researchers who claim that the rise of artificial intelligence technologies like deep learning is ushering a new age.

Mehta acknowledged in his essay that some of this inequity is on the supply side: Schools that have the freedom and resources to adopt the techniques of deeper learning are more likely to be well - funded independent schools or public schools in wealthy suburbs or neighborhoods.

Deep learning is what allows Apple's «personal assistant,» Siri, to pick up on (most) human speech, and it's what lets Facebook's image recognition software use small visual cues to pick out things like individual faces.

Autonomous driving, automatic speech recognition, and the game Go: Deep Learning is generating more and more public awareness.

So - called Deep Learning is the key.

The trained neural nets performed with 90 % and 96 % accuracy respectively (or 94 % and 99 % if the most challenging specimens were discarded), confirming that deep learning is a useful and important technology for the future analysis of digitized museum collections.

A form of machine learning called deep learning is one of the key technologies behind recent advances in applications like real - time speech recognition and automated image and video labeling.

Deep learning is a type of machine learning that can analyze data, recognize patterns, and make predictions.

In an urban context, such as the one I work in, aligning resources toward deeper learning is an imperative: Deeper learning significantly contributes to educational equity.

Deep learning is like taking a long drought from a well of knowledge as opposed to only sipping from many different wells.

At Envision Education, we believe that deeper learning is the key to fundamentally changing education outcomes for all students.

No deep learning was taking place with that activity!

Deeper Learning: 10 Ways You Can Die Education Week, 8/25/16 «One of the things I've learned in my own journey in trying to teach people about deeper learning is that the most powerful things you can do is give adults models and experiences that mirror what you are hoping they will do for students.»

Deep learning is messy and complicated.

(Note: The meaning of deep learning is different in education than in Artificial Intelligence, where it refers to machine learning.)

Perhaps two of the most significant findings from the list above are that students are developing higher levels of academic engagement, collaboration, motivation, and self efficacy and that deeper learning is working with students regardless of their income levels or prior school achievement.

Deep learning is the jump from telling computers what to do to giving them examples of what to do and letting them figure out how to apply it to other situations; the jump from predefined steps to predefined models.

A school that is dedicated to deeper learning is a school that has established a coherent, schoolwide, standards - aligned performance assessment system.

The question is as revealing as the answer; unfortunately, the standards have come to be associated with testing rather than the deeper learning they were intended to promote.

Deeper Learning is a set of interrelated competencies that students need to learn to develop a true understanding of algebra content and processes, and to solve problems in the classroom, in life, and at work.

Educators seeking to measure student attainment of 21st century skills and deeper learning are increasingly looking to performance assessment as a way to assess student performance meaningfully.

He also shares how deep learning is impactful for students, but especially impactful for students who are disconnected from school.

In this episode we have Michael Fullan, author of many books on education and the global leadership director with New Pedagogies for Deep Learning being interviewed by Jo Anderson, co-executive director of the Consortium for Educational Change.

Teacher competencies for learner - centered teaching, blended learning, and deeper learning are good examples, and yet there are still relatively few comprehensive supply - side offerings.

Deeper Learning is education that motivates, inspires, challenges and empowers students.

[Circling back to Common Core,] the problem is the Common Core has been associated with testing rather than the deeper learning it was intended to promote... The Common Core is not a silver bullet, and it's not the only thing kids need for a good education, but it does have the potential if done right to move schools to routinely thinking about critical thinking and problem solving rather than rote memorization.

MEDIA CONTACT: Karen Cheeks [email protected] 240-233-4110 NCTAF to Lead a Stimulating Discussion on Deeper Learning Outcomes at the 2015 Teaching & Learning Conference WASHINGTON — The National Commission on Teaching and America's Future (NCTAF) will delve into how deeper learning is changing teaching and learning in classrooms across the United States.

While it is supported by tools, structures, and time, improvement for deeper learning is ultimately powered by curiosity, and, to flourish, it relies on a specific set of conditions.

Students need to fully understand that deep learning isn't something that takes place in one classroom session.

Deeper learning is the byproduct of intentional planning and deeper teaching.

This webinar is part of a series, Achieving Equity Through Deeper Learning, that focuses on why deeper learning is crucial for students in today's innovation economy and how we can achieve greater equity in access to deeper learning.

It is often helpful to give examples of places where deeper learning is happening, so you can show educators that it's not just a theory that has been hatched in the university, but it actually is working in many places.

Research shows that these student - centered schools focused on deeper learning are demonstrating stronger student achievement, graduation, college - going, and college success.

Deeper Learning isn't simply a checklist; it is a set of interrelated competencies that students need in order to develop a true understanding of algebra content and processes that they can use to apply their knowledge to new and unfamiliar challenges in the classroom, in life, and at work.

Very interesting premise — though I know my boys» preference for deep learning is totally unconscious if that is the case:)

Deep learning is behind the much talked about achievements of self - driving cars, image recognition technology that performs better than humans, impressive language translation, and voice recognition.

His subtle connoisseurship and deep learning were balanced by a keen commercial sense.

But by its nature, deep learning is a particularly dark black box.