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Visualizing Deep Learning: Filter, Class Activation Maps and LIME

  • Post author:N S Punn
  • Post published:May 18, 2021
  • Post category:Tutorial
  • Post comments:0 Comments

What is covered? OverviewImporting librariesLoading the MNIST datasetPreprocessingLoading the trained modelEvaluationModel visualizationFilter visualizationClass activation mapLIMEConclusion Overview Unlike machine learning models, the deep learning models lack transparency in the decision making…

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Recent Posts

  • Improved Interpretability and Explainability of Deep Learning Models
  • Pytorch Skeleton Code for Binary and Multi-class Classification
  • BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins
  • RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
  • Glimpse of 8th Heidelberg Laureate Forum 2021
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