Coloring black boxes: visualization of neural network decisions

@article{Duch2003ColoringBB,
  title={Coloring black boxes: visualization of neural network decisions},
  author={Wlodzislaw Duch},
  journal={CoRR},
  year={2003},
  volume={abs/1802.08478}
}
Neural networks are commonly regarded as black boxes performing incomprehensible functions. For classification problems networks provide maps from high dimensional feature space to K-dimensional image space. Images of training vector are projected on polygon vertices, providing visualization of network function. Such visualization may show the dynamics of learning, allow for comparison of different networks, display training vectors around which potential problems may arise, show differences… CONTINUE READING
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