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auxiliary-learning

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Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

  • Updated Feb 9, 2022
  • Jupyter Notebook

The aim of this study is to determine the machine failure by construction of classifier model on predictive maintenance dataset. The class imbalance data compromise the performance of the constructed model and this is addressed by assessing the oversampling methods with Multi-Task Learning (MTL)architecture. Also, to gauge the performance of aux…

  • Updated Sep 22, 2022
  • Jupyter Notebook

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