The Improvement of Dropout Strategy Based on Two Evolutionary Algorithms

Dropout strategy is a simple and common regularization method in the construction of deep network that it can control the status of units in the Dropout layers according to the constant probability values in the training processes to prevent the training from overfitting. However, the probability va...

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Veröffentlicht in:	2018 IEEE International Conference on Robotics and Biomimetics (ROBIO) S. 814 - 819
Hauptverfasser:	Chen, Tianhao, Jia, Wenchuan, Sun, Yi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2018
Schlagworte:	AI-Based Methods Big Data in Robotics and Automation Computer Vision for Other Robotic Applications Dropout strategy Encoding Evolutionary computation Genetic algorithms Mathematical model Sociology Statistics Training
Online-Zugang:	Volltext
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