Search Results - "Optimal distributed parallel algorithms"

Optimal distributed parallel algorithms for deep learning framework Tensorflow

Authors: Yuanlun Xie Majun He Tingsong Ma et al.

Source: Applied Intelligence. 52:3880-3900

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://link.springer.com/article/10.1007/s10489-021-02588-9

Optimal distributed parallel algorithms for deep learning framework Tensorflow.

Authors: Xie, Yuanlun He, Majun Ma, Tingsong et al.

Source: Applied Intelligence; Mar2022, Vol. 52 Issue 4, p3880-3900, 21p

Subject Terms: DISTRIBUTED algorithms, DEEP learning, DATABASE design, PARALLEL algorithms, GREEDY algorithms, MACHINE learning, GRAPHICS processing units

广义乘子法求解构造变分问题的神经网络方法. (Chinese)

Alternate Title: NEURAL NETWORK METHOD FOR CONSTRUCTIVE VARIATIONAL PROBLEMS BY GENERALIZED MULTIPLIER METHOD. (English)

Authors: 欧阳晔 江巍 吴怡 et al.

Source: Engineering Mechanics / Gongcheng Lixue; Nov2023, Vol. 40 Issue 11, p11-20, 10p

DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion.

Authors: Liu, Jing Liu, Yang Li, Di et al.

Source: Applied Intelligence; Aug2023, Vol. 53 Issue 16, p19237-19254, 18p

Subject Terms: CONVOLUTIONAL neural networks, ENERGY consumption, MULTILEVEL models

Improved generalization performance of convolutional neural networks with LossDA.

Authors: Liu, Juncheng Zhao, Yili

Source: Applied Intelligence; Jun2023, Vol. 53 Issue 11, p13852-13866, 15p

Subject Terms: CONVOLUTIONAL neural networks, STIMULUS generalization, DATA augmentation, GENERALIZATION

CF-DAML: Distributed automated machine learning based on collaborative filtering.

Authors: Liu, Pengjie Pan, Fucheng Zhou, Xiaofeng et al.

Source: Applied Intelligence; Dec2022, Vol. 52 Issue 15, p17145-17169, 25p

Subject Terms: MACHINE learning, SUPERVISED learning, COLLABORATIVE learning, FILTERS & filtration, PROBLEM solving

Deep Learning Approaches in Histopathology.

Authors: Ahmed, Alhassan Ali Abouzid, Mohamed Kaczmarek, Elżbieta

Source: Cancers; Nov2022, Vol. 14 Issue 21, p5264, 19p

Subject Terms: DEEP learning, DIGITAL image processing, MACHINE learning, ARTIFICIAL intelligence, HISTOLOGY, TUMORS, ALGORITHMS

Efficient Design of Energy Disaggregation Model with BERT-NILM Trained by AdaX Optimization Method for Smart Grid.

Authors: Çavdar, İsmail Hakkı Feryad, Vahit

Source: Energies (19961073); Aug2021, Vol. 14 Issue 15, p4649-4649, 1p

Subject Terms: SMART power grids, DEEP learning, ELECTRICAL load, ENERGY demand management, COMPUTER software installation, LONG-term memory