Zobrazeno 1 - 10
of 3 340
pro vyhledávání: '"Neural architecture search"'
Publikováno v:
智能科学与技术学报, Vol 6, Pp 272-280 (2024)
Aiming at the problem of poor generalization ability in hand-crafted architectures that overly rely on expert experience, a neural network architecture search method with an adaptive smoothness strategy was proposed. Firstly, an improved candidate op
Externí odkaz:
https://doaj.org/article/621018ed394b411493b1b08e2a29a17b
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract A neural network model needs to be manually designed for ancient mural dynasty recognition, and this paper proposes an ancient mural dynasty recognition algorithm that is based on a neural architecture search (NAS). First, the structural edg
Externí odkaz:
https://doaj.org/article/7fea16f1280b43d7a2594353c208639c
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 67 (2024)
Abstract Real-time monitoring of crop growth has become indispensable in modern agriculture, facilitating prompt detection of crop stress, diseases, and nutrient deficiencies by farmers. This study investigates the feasibility of leveraging unmanned
Externí odkaz:
https://doaj.org/article/109cd7577ea64902a3ca0d0f0872a3ec
Publikováno v:
Frontiers in High Performance Computing, Vol 2 (2024)
The convincing performances of deep neural networks (DNNs) can be degraded tremendously under malicious samples, known as adversarial examples. Besides, with the widespread edge platforms, it is essential to reduce the DNN model size for efficient de
Externí odkaz:
https://doaj.org/article/9cad631153314868ab79bb136115ea76
Publikováno v:
Electronic Research Archive, Vol 32, Iss 3, Pp 2016-2032 (2024)
Convolutional neural networks (CNNs) play a prominent role in solving problems in various domains such as pattern recognition, image tasks, and natural language processing. In recent years, neural architecture search (NAS), which is the automatic des
Externí odkaz:
https://doaj.org/article/0c8bf890a00e4ce2b14f982395e6e477
Autor:
Meng-Ting Wu, Chun-Wei Tsai
Publikováno v:
ICT Express, Vol 10, Iss 1, Pp 213-231 (2024)
The goal of neural architecture search (NAS) is to either downsize the neural architecture and model of a deep neural network (DNN), adjust a neural architecture to improve its end result, or even speed up the whole training process. Such improvement
Externí odkaz:
https://doaj.org/article/98e34dc41fc944bcaa82a0e528a94f4d
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
In neural circuits, recurrent connectivity plays a crucial role in network function and stability. However, existing recurrent spiking neural networks (RSNNs) are often constructed by random connections without optimization. While RSNNs can produce r
Externí odkaz:
https://doaj.org/article/f5583e66573c43748f377089b5acb982
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Integration between constrained optimization and deep networks has garnered significant interest from both research and industrial laboratories. Optimization techniques can be employed to optimize the choice of network structure based not only on los
Externí odkaz:
https://doaj.org/article/e5da235e23364b16b5d40b2104991d52
Autor:
Fatsuma Jauro, Abdulsalam Ya'u Gital, Usman Ali Abdullahi, Aminu Onimisi Abdulsalami, Mohammed Abdullahi, Adamu Abubakar Ibrahim, Haruna Chiroma
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200349- (2024)
Convolutional Neural Networks (ConvNets) have demonstrated impressive capabilities in image classification; however, the manual creation of these models is a labor-intensive and time-consuming endeavor due to their inherent complexity. This research
Externí odkaz:
https://doaj.org/article/d15227aba8d846f595baa8ee8e0416a8
Autor:
Sarwat Ali, M. Arif Wani
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 3, Pp 1176-1194 (2023)
One of the challenges in deep learning involves discovering the optimal architecture for a specific task. This is effectively tackled through Neural Architecture Search (NAS). Neural Architecture Search encompasses three prominent approaches—reinfo
Externí odkaz:
https://doaj.org/article/85085e6a6d90482c92d05057371fd05b