Numerically Stable Softmax and Cross Entropy
Read OriginalThis technical article delves into the softmax function and cross-entropy loss, key components in deep learning. It demonstrates how naive implementations can lead to numerical overflow/underflow (producing NaN or inf) and mathematically derives stable versions by shifting inputs, ensuring reliable computation even with extreme logit values.
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