Examples of using Deep learning-based in English and their translations into Chinese
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The third approach is deep learning-based methods.
Deep learning-based predictive analytics took it a step further.
DeepText, the company's deep learning-based text understanding engine;
There are clear compromises between traditional computer vision and deep learning-based approaches.
DeepText, the company's deep learning-based text understanding engine;
Deep learning-based image recognition has become“superhuman”, producing more accurate results than human contestants.
Faster R-CNN is now a canonical model for deep learning-based object detection.
Nvidia unveils deep learning-based AI model that automatically choreographs music.
Sweden's Hoofstep is raising venture capital to develop deep learning-based behavioral analysis for horses.
Among them, deep learning-based(DI) approaches have been quite impactful in recent times.
That's why Air France partnered with Tinyclues to deploy a deep learning-based solution to aid its marketing efforts.
The end result is a deep learning-based object detector that can process approximately 6-8 FPS(depending on the speed of your system, of course).
This reflects the almost completeswitch from traditional computer vision approaches to deep learning-based approaches for the competition.
Advances in machine vision and deep learning-based artificial intelligence algorithms and reduction in implementation costs.
To attain a better understanding of the cosmos,researchers successfully developed the first deep learning-based 3D simulation of the universe.
Moreover, using a deep learning-based solution improves diagnostic performance overall and radiologists with less experience benefit from the system the most.
Rekognition's API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
In most cases, deep learning-based solutions lack mathematical elegance and offer very little interpretability of the found solution or understanding of the underlying phenomena.
Researchers from Stanford University recently developed a deep learning-based system that can predict soybean production from satellite imagery.
In most cases, deep learning-based solutions lack mathematical elegance and offer very little interpretability of the found solution or understanding of the underlying phenomena.
Rekognition's API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
DeepFish in Russia is using neural networks to identify fish,and Sweden's Hoofstep is raising VC money to bring deep learning-based behavioral analysis to horses.
London based startup Fabula AI has developed a deep learning-based system that can help identify fake news across online platforms.
A team of physicists andcomputer scientists at ETH Zurich developed a deep learning-based model to estimate the amount of dark matter in the universe.
To overcome those limits, the research team's new deep learning-based system handles all tasks through a single network, increasing efficiency and practicality.
With the corresponding API,DotC apps matrix developers can quickly add deep learning-based complex visual search and image analysis functions to their applications.
However, I object to the argument that says“Today's deep learning-based systems don't exhibit genuine understanding, and therefore deep learning should be abandoned”.
Computer Vision SystemToolbox™ provides training frameworks to create deep learning-based object detectors using R-CNN(regions with CNN), Fast R-CNN, and Faster R-CNN.
For example, ZipRecruiter's Get Recruited platform uses a deep learning-based recommendation algorithm and natural language processing(NLP) to connect job seekers and employers.
Founded in 2015,Deep Genomics has developed a platform that uses deep learning-based technology to help geneticists, chemists, and molecular biologists create therapies.