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June 22, 20151,476 citationsOpen Access

Understanding Deep Neural Networks Through Visualization Tools

Understanding Neural Networks Through Deep Visualization

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Authors

JYJason YosinskiJCJeff CluneANAnh Mai Nguyen

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Overview

Randomized trial shows improved feature interpretation in neural networks, suggesting better tools for learning.

Key Points

  • The aim is to enhance understanding of deep neural networks by developing effective visualization tools.
  • Introduced two tools for visualizing activations in convolutional neural networks during image processing.
  • Developed new regularization methods to create clearer visualizations of features in deep networks.
  • Tools are open source and require minimal setup with pre-trained convolutional networks.
  • The first tool enables real-time visualization of layer activations, helping users grasp how networks operate.
  • The second tool provides clearer and more interpretable images of features at various layers after applying new regularization methods.
  • Both tools significantly improve intuitions about convolutional neural networks.

Cite This Study

Yosinski et al. (2015) studied this question.

synapsesocial.com/papers/6a0ac95e334bc3615dac9edbhttps://doi.org/10.48550/arxiv.1506.06579
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