All Projects β†’ deepmind β†’ Symplectic Gradient Adjustment

deepmind / Symplectic Gradient Adjustment

Licence: apache-2.0
A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

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This colab implements the Symplectic Gradient Adjustment (SGA) algorithm. It then applies this optimizer to two different experiments:

  • using a GAN to learn a 4 by 4 mixture of Gaussians;
  • using a GAN to learn 75 dimensional Gaussian.

All experiments run in 5-10 minutes with a GPU, but can of course be much slower on CPU.

Use this link to run this notebook in colab: https://colab.research.google.com/github/deepmind/symplectic-gradient-adjustment/blob/master/Symplectic_Gradient_Adjustment.ipynb

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