In this chapter, we discuss how topological data analysis has been used to analyze the structure of neural networks, together with decision regions, boundaries, decompositions of input spaces, and input and output spaces of generative and non-generative models.

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Input and Output Spaces

  • Rubén Ballester,
  • Carles Casacuberta,
  • Sergio Escalera

摘要

In this chapter, we discuss how topological data analysis has been used to analyze the structure of neural networks, together with decision regions, boundaries, decompositions of input spaces, and input and output spaces of generative and non-generative models.