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What does the global minima of a non-convex loss function look like?

For LeNet trained on MNIST with the lowest possible loss (global minima),

  • What would the test error rate look like? Is there a benchmark for best possible performance?
  • Can we achieve global minima on non-convex loss functions for a classification task with a minimum number of parameters? Or conversely, how does adding more parameters to a NN help with this?

submitted by /u/liqui_date_me
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.