Examples of using Deep-learning algorithms in English and their translations into Chinese
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Deep-learning algorithms are being used to detect lithium-ion batteries in airport luggage.
It seems inevitable that we will throw deep-learning algorithms at the data and look for new ways to use it.
Its new AI chip, the Sophon BM1680,is specialized for both training and executing deep-learning algorithms.
These deep-learning algorithms become more intelligent over time, leading to safer driving.
High-end smartphones already include chips optimized for running deep-learning algorithms for image and voice recognition.
Powerful AI deep-learning algorithms can accurately predict what objects in the vehicle's travel path are likely to do.
Formerly known as CNTK,the Microsoft Cognitive Toolkit promises to train deep-learning algorithms to think like the human brain.
But deep-learning algorithms often work in mysterious ways, and their unpredictability opens them up to exploitation.
Several other researchers are training deep-learning algorithms to search for signs of adaptation in genomes.
This architecture captures the full gamut of machine learning methods fromsimple linear regression methods to complex deep-learning algorithms.
Deep-learning algorithms are increasingly being used to make life-impacting decisions, such as in hiring and firing employees and in the criminal justice system.
To understand voice commands,smart speakers such as the Echo and Google Home rely on deep-learning algorithms, which require extensive computing power.
In healthcare, deep-learning algorithms could help doctors identify cancer-cell types or intracranial abnormalities from anywhere in the world in real time.
Gaidon and his team used Unity, a widely used game development engine for 3-D video games,to create scenes to help train deep-learning algorithms.
Deep-learning algorithms are increasingly being used to make life-impacting decisions, such as in hiring and firing employees and in the criminal justice system.
The company puts an immense amount of effort into collecting high quality data and then annotating it so thatit's useful for training deep-learning algorithms.
Ultimately, Meade said, the study highlights the potential for deep-learning algorithms to answer questions that, until recently, scientists barely knew how to ask.
Because geneticists don't yet know which parts of the genome are being shaped by natural selection,they must train their deep-learning algorithms on simulated data.
It also requires some pretty significant computing resources, which is why Nvidia recently launched a newkind of supercomputer developed specifically to run deep-learning algorithms.
The researchers used a deep-learning algorithm to find 14 specific points on a person's face and analyze the distance between them.
Esteva and colleagues at Stanford University created a deep-learning algorithm to diagnose skin cancer, and then tested it against 21 board-certified dermatologists.
For deep learning, we have used H2O Deep-Learning algorithm, which can be used in both classification and regression applications.
The robot made1,000 random movements to gather data for the deep-learning algorithm to create the self-simulation.
The Stanford team trained a deep-learning algorithm to identify different types of irregular heartbeats in ECG data.
And then in 2012,the same group won a machine-vision contest using a deep-learning algorithm that was astonishingly accurate.
Next, the team fed those videos to a deep-learning algorithm that deconstructed the sounds and analyzed their pitch, loudness, and other features.
A deep-learning algorithm is fed data without labels and sifts through it to find common patterns or representative features, which are called latent factors.