Yeah, i guess my batch size is equal to the number of letters in the name… from a conceptual standpoint, is that okay?
My idea was that you pass in a tensor representing the name (where every row is a one-hot vector describing the letter), and it outputs a 1x2 tensor that represents the probability that said name was either a boy or a girl. However, I now see the output’s size is batch_sizex2… does this mean that it shows a probability of each letter in the name being indicative of gender? And is there any way to condense these values into a 1x2 tensor like the current target tensor, or is this batch_sizex2 output format okay and I should change what the target tensor looks like, in which case how should I model it?
I’m sorry for the barrage of questions, I just really want to wrap my head around this