Examples of 'deep-learning' in a sentence
Meaning of "deep-learning"
Deep-learning: a type of artificial intelligence or machine learning that involves training algorithms to learn patterns and make decisions, commonly used in technology or data science contexts
How to use "deep-learning" in a sentence
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deep-learning
Deep-learning analytics is still a future trend.
The chips are designed to handle deep-learning tasks.
A deep-learning algorithm associates the pixels in an image with a particular character.
A few hundred scientists work on deep-learning technologies at the institute.
Deep-learning systems have recently outperformed humans in certain limited recognition tests.
A seemingly real video created with deep-learning artificial intelligence.
And this deep-learning approach will allow researchers to perform additional analyses.
In this line of research we work with advanced deep-learning techniques.
It turns out that the deep-learning algorithm can do this remarkably well.
I disagreed with him about these early deep-learning views.
It utilizes deep-learning algorithms and acquires skills, so it can routinize many complex functions.
The tweets identified as abusive were used to train a deep-learning network.
The company 's researchers used advanced deep-learning techniques to reach a new level of accuracy.
They learned of a handful of promising results predating the deep-learning revolution.
Instead, it executes complex deep-learning algorithms with a minimal power to achieve high performance.
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Such a feat is well within the powers of current deep-learning systems.
Deep-learning chips do not need to do that much thinking to handle all those micro-tasks.
They then used the rest of the data to test the deep-learning algorithm.
Deep-learning algorithms are great at pattern recognition, but they certainly do not show deep understanding.
Crowd analysis technology provides a real-time deep-learning model for crowded environments.
Even with deep-learning methods, data should be explored and vectorized to ensure reasonable performance.
It 's an important platform because it makes implementing deep-learning algorithms much more accessible and convenient.
But can all that deep-learning technology and powerful computation truly turn out terrifying tales?
One reason is that image classification plays to the strength of the latest deep-learning algorithms.
The first is a conventional deep-learning system that mimics the behaviur of the prefrontal cortex.
The chip has digital signal processors that can be programmed to fit deep-learning models.
Shelley is a deep-learning powered AI who was raised reading eerie stories collected from r / nosleep.
This inscrutability stems from the complexity of the large neural networks that underpin deep-learning systems.
AWS DeepLens is the world 's first deep-learning enabled video camera for developers.
We will explore the evolution of Image Analysis, from classical to Deep-Learning techniques.
Tensor2Tensor simplifies deep-learning model training so developers can more easily create machine learning workflows.
The services allow scientists to quickly build, train and deploy deep-learning technologies for internal data.
Deep-learning neural network.
Dr Leitner said the approach overcame a number of limitations of current deep-learning grasping techniques.
Unfortunately, when it comes to deep-learning platforms, explainability is problematic.
DreamUp Vision has developed a cognitive learning engine which relies on deep-learning technologies.
Comparison of deep-learning software.
Google has open-sourced TensorFlow, their new deep-learning system.
And with this deep-learning virus, it frankly makes it impossible to track down.
The crowd analysis technology offers a real-time, deep-learning model for busy environments.
Previous post Deep-learning technique reveals ' invisible ' objects in the dark.
Are we promoting Canadian content through deep-learning algorithms?
Deep-learning technique reveals ' invisible ' objects in the dark.
For years, Mr. Frey has done research that combines deep-learning and cell biology.
It 's a deep-learning algorithm.
Revolution AI, Why everyone wants in to Montreal 's deep-learning hub.
To which deep-learning pioneer Yann LeCun responded via Twitter, " No, it 's not.
Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
Spetzler 's company, for instance, is working to crunch protein-fortified data with deep-learning software.
Aji 3 needs a month … of deep-learning per person.
