Is the formula 5.4 correct? I expected y to be a scalar since we sum the error over m examples. Please let me know if I am missing something:
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Ya sure. In probablity theory, the sum of all possible outcomes sum over to 1. For example a coin(fair or not) can only land on two sides, heads and tails. So in neural networ if there are only two possible states 0 and 1 the probablity of them occuring add up to 1.
So if prob(1) is say X, the prob(0) would be 1-x.
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