Examples of using Deep learning algorithm in English and their translations into Vietnamese
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That's why the researchers turned to a deep learning algorithm.
The Deep Learning algorithm means the camera can detect a face from a meter away.
From what Google has been saying over the years,we also know that their deep learning algorithm hasn't been unleashed in the Google Photo collection.
A deep learning algorithm could be instructed to“learn” what a dog looks like.
Google's RankBrain, or else Google's deep learning algorithm, is also expected to affect the search landscape.
A deep learning algorithm trained on images of your face would allow facial recognition software to recognize you no matter what you look like on a given day.
In addition,the camera contains a built-in GPU for running the Hikvision deep learning algorithm, in order to support indoor monitoring and advanced intrusion detection.
However, the screenshots will remain for the memory of crypto-verse as a fun episode in the history of cryptos anda notable example of how important it is for companies to debug a deep learning algorithm.
For example, a deep learning algorithm could be trained to‘learn' how a dog looks like.
Based on about 60 hours of observation of these mice, the investigators“trained” a deep learning algorithm to recognize abnormal pupillary patterns.
First, they trained their computer program- a deep learning algorithm loosely modeled on how neurons work in the brain- on 95 different species of bacteria from 90% of the samples, along with the ages of the people they had come from.
And in a paper published in the journal Nature Biomedical Engineering earlier this month,researchers at Massachusetts General Hospital in Boston describe a deep learning algorithm that can detect acute intracerebral hemorrhages, or ICHs, with a high degree of accuracy.
Hikvision's vehicle recognition feature uses a Deep Learning algorithm to distinguish between small and large vehicles, with the added ability to detect the make, model and colour.
The series on deep learning systematically goes through everything you need to know to go one step further from thebase concepts to actually build your own deep learning algorithm, highlighting some of the most exciting features of deep learning and its applications in a more comprehensive way.
The knowledge graph, based on mass data processing and a deep learning algorithm, will process data from a number of sources including blockchain, various trading platforms, information of“team creditworthiness”, market assessment, and search popularity on a daily basis.
The Dual-Lens People-Counting Camera, equipped with two cameras and powered by a Deep Learning algorithm, easily overcomes such interferences to deliver highly accurate people-counting data.
Similarly to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome.
Baidu Research recently announced that the results of early tests on its deep learning algorithm indicate that it can outperform humans when identifying breast cancer metastasis.
Baidu has invested in developing self-driving cars, powered by its deep learning algorithm, Baidu AutoBrain, and, following several years of tests, plans to roll out fully autonomous vehicles in 2018 and mass-produce them by 2021.
Using that dataset and a modified version of an existing deep learning algorithm known as Faster RCNN, they then taught a computer how to distinguish between the two types of images.
The new method does both of those things at once, with the help of a deep learning algorithm that maps brain activity and another that can predict the electrical channels lighting up during a seizure.
Based on a series of experiments,the recognition accuracy of solutions using the Deep Learning algorithm increased accuracy by 38%- applying this to the previous example, that's a saving of nearly one hour each night.
In a press release,Burger King claims the videos are the work of a“new deep learning algorithm,” but an article from AdAge makes it clear that humans- not machines- are responsible for the funnies.