Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers

@article{Henderson2017PicassoAM,
  title={Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers},
  author={R. Henderson and R. Rothe},
  journal={Journal of open research software},
  year={2017},
  volume={5}
}
  • R. Henderson, R. Rothe
  • Published 2017
  • Computer Science
  • Journal of open research software
    • Picasso is a free open-source (Eclipse Public License) web application written in Python for rendering standard visualizations useful for analyzing convolutional neural networks. Picasso ships with occlusion maps and saliency maps, two visualizations which help reveal issues that evaluation metrics like loss and accuracy might hide: for example, learning a proxy classification task. Picasso works with the Tensorflow deep learning framework, and Keras (when the model can be loaded into the… CONTINUE READING
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