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of deep learning methods
Examples with "of deep learning methods" and their translation in Japans
The use of deep learning methods may prove to be a way forward.
深層学習の手法を利用することで、その解決の糸口が見えてくるかもしれません。
What is Neural Machine Translation? In comparison with previous Machine Translation solutions, NMT is a state-of-the-art approach, taking advantage of deep learning methods and resulting in a cleaner and more semantically correct translation output.
ニューラル機械翻訳とは何でしょうか？ これまでの機械翻訳ソリューションと比べて、最新鋭のアプローチであるNMTではディープラーニングの手法が用いられ、従来よりも間違いの少ない、意味的に正しい翻訳が行われます。
NMT is a state-of-the-art approach, taking advantage of deep learning methods and resulting in a cleaner translation output in comparison with classic Machine Translation solutions (common examples are DeepL and Mirai Translate).
NMTはディープラーニングの手法を用いる最新鋭のアプローチで、従来の機械翻訳ソリューション（典型的な例はDeepL Translatorやみらい翻訳です）と比べて間違いの少ない翻訳が行われます。
This is because it's not possible to completely automate the pre-processing for learning even with the use of deep learning methods.
These include vision-based methods for detecting anomalies such as damages/defects of structures; vision-based methods for recognition of unknown three-dimensional environment surrounding robots and their navigation in the environment; basic research of deep learning methods for these tasks; and development of hardware and autonomous flight control of UAVs with special structures that enable them to continue to fly after collision with surfaces in space.
Andere resultaten
With the widespread use of the Internet and computer speeding up, it has become possible to acquire enormous electronic data in a short time, and due to the development of Deep Learning method, the technical evolution of AI is accelerating faster.
インターネットの普及とコンピュータの高速化により膨大な電子データを短時間で集積できるようになったことや、デープラーニング法が開発されたことなどにより、AIの技術的進化が加速度的に速まっています。
In this study, we investigate the topic focusing on the interpretability of deep learning-based registration methods.
To solve this problem, we use convolutional neural networks (CNN), which is one of the deep learning methods, to predict CFD results.
この問題の解決策として、我々の研究グループでは、深層学習法の1つである畳み込みニューラルネットワーク（CNN）の使用を試みた。
Specifically, we employ photographs of actual candidates and manipulate their facial expressions by conducting face morphology analyses and using Generative Adversarial Network (GAN), which is one of deep learning methods.By using experimental methods, we attempt to understand the extent to which nonverbal cues - factors other than policies - affect the political judgment and voting behavior of the electorate.
具体的には、実際の候補者の写真などをもとに、政治家の顔の形や表情を、ディープラーニングの手法の1つであるGenerative Adversarial Network （GAN）や顔形態分析によってPC上で再構築するとともに人工的に操作するなど、実験的手法を用いることで、有権者の政治的判断や投票行動が、どのような状況でどの程度、政治家のビジュアル・イメージという、政策以外の（非合理的な）要素によって左右されているのかを明らかにする。
Looking in another direction, we can see that, after the continuous ups and downs of research on the topic in the 20 th century, Artificial Intelligence (AI) was able to reclaim the spotlight after the development of "deep-learning" methods in the 2000's.
Symbolic systems and deep learning/machine learning methods We discuss the potential and limitations of deep learning and other machine learning techniques with respect to the nature of symbolic dynamics, and we study directions for improvement.
2） 記号系と深層学習・機械学習手法 記号系に関する数理的理解を元に、深層学習をはじめ機械学習が適切な処理を 行いうるのか、その可能性と限界を吟味し、学習方法の改良の方向性を探りま す。
Koji Naniwada EMERGENCE OF DEEP LEARNING REVOLUTIONIZES UI At the 2012 image recognition competition held by the International Society for image recognition, the team led by Professor Geoffrey Hinton of the University of Toronto won overwhelmingly by utilizing deep learning method, far exceeding the recognition accuracy in other teams which utilized the existing machine learning method.
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