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Bayesian Deep Learning

• lotsoflumens 10y ago
  Very nice article! But ... You generated your original data from: "sklearn.datasets.make_moons". Then you say that you tested your classifier on a hold-out set with "sample_ppc()". I don't think that's a true hold-out set. A true hold-out set would be obtained by running "make_moons()" again to generate new data. Have you tried that? It would be interesting I think. I'll run the test myself too ... Again, thanks for a very nice and informative article.
  • twiecki 10y ago
    Thanks for your comment! I did split the data in two, but it's easy to miss. X_test and X_train are the two sets. ann_input.set_value(X_test) then switches in the test values. That's identical to running make_moons() again.
    • lotsoflumens 10y ago
      OK, I didn't understand how the "neural_network" was connected to the data. Thanks for responding.