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Arxiv

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Some Theoretical Results on Layerwise Effective Dimension Oscillations in Finite Width ReLU Networks

  • The study analyzes the layerwise effective dimension in fully-connected ReLU networks of finite width.
  • Closed-form expressions for the expected rank of the hidden activation matrices for a fixed batch of inputs are derived.
  • Main result indicates that the rank deficit decays geometrically with a ratio of 0.3634.
  • The oscillatory rank behavior observed is a finite-width phenomenon in random ReLU networks, shedding light on deep network expressivity.

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