Comments (5)
Der ser ud til at være samme fejl i crossentropy?
from summerschool.
Er det ikke mere rigtigt at skalere learningrate med batch_størrelse? Ellers vil cost jo afhænge af batch størrelse når man fx plotter den?
from summerschool.
Er det ikke omvendt. Hvis man ikke skallerer med batch størrelse vil cost afhænge af batchstørrelsen.
Der er en fejl i den Mean squared jeg foreslog:
def fprop(self, x, t):
num_batches = x.shape[0]
cost = 0.5 * (x-t)**2 # samples, num_outputs
cost = cost.sum() # sum over output and batches
return cost / num_batches # divide by batchsize
from summerschool.
Begge dele er fint syntes jeg
Dit forslag giver vel "per sample cost" - Det er også det der bliver gjort i lasagne, så det er fint syntes jeg
from summerschool.
Ok. Vil du copy paste det ind i dit PR? crossentropy er fin udover den er skrevet anderledes.
Du kan evt også cp de forslag som jeg har åbnet issues om? Hvis du er enig.
from summerschool.
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from summerschool.