Results 11 to 20 of about 418,704 (219)
Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy [PDF]
Clinical Endoscopy, 2020 Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural ...
Joonmyeong Choi +6 more
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A Review of Deep Learning Algorithms and Their Applications in Healthcare
Algorithms, 2022 Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as
Hussein Abdel-Jaber +4 more
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On the relationship between predictive coding and backpropagation.
PLoS ONE, 2022 Artificial neural networks are often interpreted as abstract models of biological neuronal networks, but they are typically trained using the biologically unrealistic backpropagation algorithm and its variants.
Robert Rosenbaum
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Challenge of the performance management of trust control systems with deep learning
Advanced Engineering Research, 2022 Introduction. The significance of machine learning under the conditions of digital transformation of industry, and methods of implementing deep learning to provide the performance of trust management systems are considered.
A. A. Zelensky +4 more
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The Limitations of Deep Learning in Achieving Real Artificial Intelligence
Proceedings, 2022 The achievement of artificial intelligence has been one of the goals in the field of machine learning, and achievements in the field of deep learning have led to the idea that the goal of so-called “intelligence” in artificial intelligence can be ...
Tianqi Wu, Ruiqi Jin
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An Introduction to Neural Networks
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Neural networks ares an important type of machine learning that have generated significant interest due to their success on difficult problems.. This tutorial will provide an introduction and a high-level overview of artificial neural networks.
David Bisant
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Instance Level Human Parts Detection Using Artificial Neural Networks and Deep Learning [PDF]
Journal of Physics: Conference Series, 2021 Abstract To comprehend the visual world, be that as it may, a machine doesn’t better comprehend the presence between objects. Individuals are consistently conveying and it is a significant practical and scientific challenge to distinguish relationship among people and items.
G Sandhya +3 more
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USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2017 This paper refers to the cases of the use of Artificial Neural Networks and Convolutional Neural Networks in impedance tomography. Machine Learning methods can be used to teach computers different technical problems.
Grzegorz Kłosowski, Tomasz Rymarczyk
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APL Machine Learning, 2023 The design and development of polymeric materials have been a hot domain for decades. However, traditional experiments and molecular simulations are time-consuming and labor-intensive, which no longer meet the requirements of new materials development ...
Dazi Li +5 more
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Survey of Graph Neural Network [PDF]
Jisuanji gongcheng, 2021 With the continuous development of the computer and Internet technologies,graph neural network has become an important research area in artificial intelligence and big data.Graph neural network can effectively transmit and aggregate information between ...
WANG Jianzong, KONG Lingwei, HUANG Zhangcheng, XIAO Jing
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