Data for: Generative Adversarial Network-based Semi-supervised Learning for Real-time Risk Warning of Process Industries
Published: 31 March 2020| Version 1 | DOI: 10.17632/nhn57yfp4c.1
Contributor:
Rui He
Description
Present program consists of MLP, CNN, Ladder network, and DCGAN. Dataset1 is balanced data, Dataset2 is unbalanced data. Present program was codified on tensorflow 1.3.0.
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Categories
Semi-Supervised Learning, Safety, Deep Learning, Neural Network