Treffer 121 - 140 von 722

121

A distributed training method with intergenerational accumulation and cross-node random drop for mechanical fault diagnosis.
Xie, Zongliang ; Zhang, Kaiyu ; Chen, Jinglong ; et al.
Applied Soft Computing. Sep2025, Vol. 181, pN.PAG-N.PAG. 1p.

Fault diagnosis Parallel programming Knowledge transfer
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122

Efficient socket-based data transmission method and implementation in deep learning
Wei, Xin-Jian ; Li, Shu-Ping ; Yang, Wu-Yang ; et al.
Applied Geophysics. :1-10

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123

Speeding up document image classification
Ferrando Monsonís, Javier ; Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors ; Torres Viñals, Jordi

Àrees temàtiques de la U... Neural networks (Compute... Parallel programming (Co... Clasificación de imágene... Aprendizaje profundo Sistemas paralelos
Dissertation
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124

Top Python-Based Deep Learning Packages: A Comprehensive Review
Yasmin Makki Mohialden ; Raed Waheed Kadhim ; Nadia Mahmood Hussien ; et al.
International Journal Papier Advance and Scientific Review. 5:1-9

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125

$\lambda_S$: Computable Semantics for Differentiable Programming with Higher-Order Functions and Datatypes
Sherman, Benjamin ; Michel, Jesse ; Carbin, Michael

Computer Science - Progr... Computer Science - Logic... D.3.1 F.3.2
Report
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126

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Yuan, Jinhui ; Li, Xinqi ; Cheng, Cheng ; et al.

Computer Science - Distr... Computer Science - Artif... Computer Science - Machi...
Report
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127

Computational Resource Consumption in Convolutional Neural Network Training – A Focus on Memory
Fernando Barrio-Parra ; Carlos Barrios ; Yves Denneulin
Supercomputing Frontiers and Innovations. 8

Artificial neural networ... Parallel computing Artificial intelligence Ferroelectric Devices fo... Materials Science Memory bandwidth
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128

Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Wang, Fei ; Zheng, Daniel ; Decker, James ; et al.

Computer Science - Machi... Statistics - Machine Lea...
Report
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129

Revisiting PSF models: Unifying framework and high‐performance implementation.
Liu, Yan ; Stergiopoulou, Vasiliki ; Chuah, Jonathan ; et al.
Journal of Microscopy. Nov2025, p1. 13p. 7 Illustrations.

FOURIER transforms BESSEL functions LIGHT propagation COMPUTER performance FLUORESCENCE microscopy DEEP learning
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130

Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks
Qihua Zhou ; Kun Wang ; Haodong Lu ; et al.
IEEE Transactions on Parallel and Distributed Systems. 32:900-917

Decentralized architectu... Gradient sketch Multi-interface network 0202 electrical engineer... Deep learning 02 engineering and techn...
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131

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion.
Rüfenacht, Elias ; Kamath, Amith ; Suter, Yannick ; et al.
Computer Methods & Programs in Biomedicine. Apr2023, Vol. 231, pN.PAG-N.PAG. 1p.

PYTHON programming langu... DEEP learning DATA conversion PROCESS capability MEDICAL personnel COMPUTER-assisted image...
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132

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
Hajij, Mustafa ; Papillon, Mathilde ; Frantzen, Florian ; et al.
Journal of Machine Learning Research. Jan-Dec2024, Vol. 25, p1-8. 8p.

GRAPH neural networks VECTOR topology PYTHON programming langu... DEEP learning MACHINE learning
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133

TF-Coder: Program Synthesis for Tensor Manipulations.
SHI, KENSEN ; BIEBER, DAVID ; SINGH, RISHABH
ACM Transactions on Programming Languages & Systems. 2022, Vol. 44 Issue 2, p1-36. 36p.

DEEP learning NATURAL languages
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134

Generiranje slika uvjetnim generativnim suparničkim mrežama ; Generating Images Using Conditional Generative Adversarial Networks
Knežević, Petar ; Hrkać, Tomislav

generativne suparničke m... GAN uvjetne generativne supa... CGAN generiranje slika duboko učenje
Dissertation
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135

A Low-Code Visual Framework for Deep Learning-Based Remaining Useful Life Prediction
Yuhan Lin ; Jianhua Chen ; Sijuan Chen ; et al.
Processes. 13:2366

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136

gDefects4DL: a dataset of general real-world deep learning program defects.
Liang, Yunkai ; Lin, Yun ; Song, Xuezhi ; et al.
ICSE: International Conference on Software Engineering; 2022, p90-94, 5p

DEEP learning DEBUGGING TENSOR algebra SOFTWARE engineering METHODOLOGY
Konferenz
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138

Architecting Intermediate Layers for Efficient Composition of Data Management and Machine Learning Systems
Abeysinghe, Supun ; Wang, Fei ; Essertel, Gregory ; et al.

Computer Science - Progr...
Report
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139

The Next 700 Accelerated Layers
Vasilache, Nicolas ; Zinenko, Oleksandr ; Theodoridis, Theodoros ; et al.
ACM Transactions on Architecture and Code Optimization. 16(4):1-26

[INFO.INFO-LG] Computer... Polyhedral compilation GPU acceleration Deep learning layers [INFO.INFO-PL] Computer...
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