I am stuck in the tflearn quickstart guide.
I've tried tit and it works perfectly with accuracy around 78%, but the problem is I don't understand why the "labels" consist of two "survived" columns that are the opposite of each other. I've trained the same data but used only single "survived" column in the labels or the output, but with the same code I just get around 36% with 0 loss or even NaN loss.
So why is there two columns output/labels? And why can't I use only a single column?