Quick summary - good fix on CSV BOM, & yes - set it up and it runs. Nice!!
The weights graphic
It’s nice too, but I’m not sure about the scale…
I was messing around with some hyperreal arithmetic the other day (infinitesimals & infinities) but I’m not sure there’s much between +0 and -0 even in the hyperreals
(Also, it might be nice to put the actual values in the centres of the boxes - the value on mouseover is nice but I can only see one at a time and I can’t remember them all; also - what’s the leading "#: "? Looks like it should be a coordinate but there’s only the x value)
I kept waiting for the model previews to appear, but they didn’t - then I realised it had started training automatically and I was in the Statistics view. Previews do appear in model view, but even after training they don’t appear in statistics.
I do think it should be up to the user to start training… I expect to modify the recommended model.
dumb comment of the year above
Of course, if you actually click the button that says “Run model” you should not be surprised - or complain - if it actually does that. Sometimes the train of thought runs right over the answer. My excuse is that I was trying to run PL while wearing a blindfold and straitjacket - honestly.
Nice 511s to do a single Epoch training run on ~120k mnist pngs (5% held back for validation, 10% for testing, by order of values in CSV with randomise off)
Thank you for the warning about “large” dataset - let’s see what happens with the 14k of the partitioned dataset…
Alas, it’s not clear that it “fails” because nothing at all seems to happen: selected the model then Confusion, Metrics, Metris & Confusion and each time on Run Test back to the Test page and “There are no test [sic] running at the moment”.
But now it seems the kernel is offline… was that the error you were expecting? (probably happened 1st time and I didn’t notice before I tried the other test types)
Keep up the great work!