The Impact of Learning Rate Decay and Periodical Learning Rate Restart on Artificial Neural Network-Reference-Cited by-同舟云学术

The Impact of Learning Rate Decay and Periodical Learning Rate Restart on Artificial Neural Network

Published:2021-01-15 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Artificial Intelligence in Electronics Engineering
language:
Short-container-title:

Author:

Ding Yimin¹

Affiliation:

1. Tongji University,China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460268.3460270

Reference22 articles.

1. Gongpeng W Meng D Changyong N. Stochastic gradient descent algorithm based on convolution neural network. Computer Engineering and Design. 2018; 39(2): 441-445+462. Gongpeng W Meng D Changyong N. Stochastic gradient descent algorithm based on convolution neural network. Computer Engineering and Design. 2018; 39(2): 441-445+462.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive cyclical learning rate based hybrid model for Dravidian fake news detection;Expert Systems with Applications;2024-05

2. AMPP: An Adaptive Multilayer Perceptron Prefetcher for Irregular Data Prefetching;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17

3. Pathological Lung Segmentation in Chest X-Ray Images using Modified U-Net-Based Architecture;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

4. A novel model compression method based on joint distillation for deepfake video detection;Journal of King Saud University - Computer and Information Sciences;2023-10

5. Monitoring and simulating landscape changes: how do long-term changes in land use and long-term average climate affect regional biophysical conditions in southern Malawi?;Environmental Monitoring and Assessment;2023-09-26