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Attempt to make sense of reasoning for loss #20220

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Jun 22, 2018
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Attempt to make sense of reasoning for loss #20220

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Attempt to make sense of reasoning for loss
Naman-Bhalla Jun 22, 2018
5c2f1e6
Add suggested fix.
MarkDaoust Jun 22, 2018
7dd4d00
fix backquotes
MarkDaoust Jun 22, 2018
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8 changes: 4 additions & 4 deletions tensorflow/docs_src/programmers_guide/custom_estimators.md
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Expand Up @@ -362,10 +362,10 @@ model's loss. This is the
that will be optimized.

We can calculate the loss by calling @{tf.losses.sparse_softmax_cross_entropy}.
The value returned by this function will be lowest, approximately 0,
probability of the correct class (at index `label`) is near 1.0. The loss value
returned is progressively larger as the probability of the correct class
decreases.
The value returned by this function will be approximately 0 at lowest,
when the probability of the correct class (at index `label`) is near 1.0.
The loss value returned is progressively larger as the probability of the
correct class decreases.

This function returns the average over the whole batch.

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