Axis parameter in the Keras backend sum
$begingroup$
In Keras custom loss function, I often see axis parameter is set to -1.
def custom_loss(y_true, y_pred):
intersection = K.sum(K.abs(y_true * y_pred), axis=-1)
I always thought that it should be 0, as 0 axis represents the batch. So why is set to -1?
keras
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KarateKidKarateKid
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$begingroup$
In Keras custom loss function, I often see axis parameter is set to -1.
def custom_loss(y_true, y_pred):
intersection = K.sum(K.abs(y_true * y_pred), axis=-1)
I always thought that it should be 0, as 0 axis represents the batch. So why is set to -1?
keras
asked yesterday
KarateKidKarateKid
1183
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$begingroup$
In Keras custom loss function, I often see axis parameter is set to -1.
def custom_loss(y_true, y_pred):
intersection = K.sum(K.abs(y_true * y_pred), axis=-1)
I always thought that it should be 0, as 0 axis represents the batch. So why is set to -1?
keras
asked yesterday
KarateKidKarateKid
1183
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KarateKid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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In Keras custom loss function, I often see axis parameter is set to -1.
def custom_loss(y_true, y_pred):
intersection = K.sum(K.abs(y_true * y_pred), axis=-1)
I always thought that it should be 0, as 0 axis represents the batch. So why is set to -1?
keras
keras
asked yesterday
KarateKidKarateKid
1183
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asked yesterday
KarateKidKarateKid
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asked yesterday
KarateKidKarateKid
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asked yesterday
KarateKidKarateKid
1183
asked yesterday
KarateKidKarateKid
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1183
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Because y_true and y_pred have shapes (N,). Where N is the number of examples. By setting the axis to -1 you are calculating the sum over the last dimension, which happens to be over N (which is the batch)
answered yesterday
Gonzalo HernandezGonzalo Hernandez
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$begingroup$
Because y_true and y_pred have shapes (N,). Where N is the number of examples. By setting the axis to -1 you are calculating the sum over the last dimension, which happens to be over N (which is the batch)
answered yesterday
Gonzalo HernandezGonzalo Hernandez
11
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Gonzalo Hernandez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
Because y_true and y_pred have shapes (N,). Where N is the number of examples. By setting the axis to -1 you are calculating the sum over the last dimension, which happens to be over N (which is the batch)
answered yesterday
Gonzalo HernandezGonzalo Hernandez
11
New contributor
Gonzalo Hernandez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$begingroup$
Because y_true and y_pred have shapes (N,). Where N is the number of examples. By setting the axis to -1 you are calculating the sum over the last dimension, which happens to be over N (which is the batch)
answered yesterday
Gonzalo HernandezGonzalo Hernandez
11
New contributor
Gonzalo Hernandez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Because y_true and y_pred have shapes (N,). Where N is the number of examples. By setting the axis to -1 you are calculating the sum over the last dimension, which happens to be over N (which is the batch)
answered yesterday
Gonzalo HernandezGonzalo Hernandez
11
New contributor
Gonzalo Hernandez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered yesterday
Gonzalo HernandezGonzalo Hernandez
11
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Gonzalo Hernandez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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answered yesterday
Gonzalo HernandezGonzalo Hernandez
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answered yesterday
Gonzalo HernandezGonzalo Hernandez
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11
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