[vishvananda]

we did a lot of our early experimentation with small networks. I don't think we went any smaller than 5 layers of 64 filters as we mentioned here: https://medium.com/oracledevs/lessons-from-alpha-zero-part-5...

[jonath_laurent]

And what were the results of these experiments? What error rate can you reach with the smallest network architecture you tried for example?

[vishvananda]

Unfortunately I don't remember the exact numbers, but I think it was a couple percentage points worse than we were able to get with the large models.

[jonath_laurent]

This is interesting, thanks! Is there anything else you can tell me about the results of your experiments with small networks? I am really interested in this.

For example: did you notice than increasing or decreasing network size required significant changes in other hyperparameters? Are small networks learning faster at the beginning of training before they start to plateau?