Keras : is it possible to give lamda layer a name?





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I have following code inside my model definition



# (None, 6) -> (None, 8)
def affine_to_projective(x):
y = tf.pad(x,
paddings=tf.constant([[0, 0], [0, 2]]),
mode='CONSTANT',
constant_values=0
)
return y

projective_transform = Lambda(affine_to_projective)(affine_transform)


In model summary it's seen as



lambda_1 (Lambda)               (None, 8)            0           affine_transform[0][0]


Is it possible to give this layer a name instead of lambda_1?










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  • Yes, did you try to give it a name?

    – Matias Valdenegro
    Nov 26 '18 at 16:57


















0















I have following code inside my model definition



# (None, 6) -> (None, 8)
def affine_to_projective(x):
y = tf.pad(x,
paddings=tf.constant([[0, 0], [0, 2]]),
mode='CONSTANT',
constant_values=0
)
return y

projective_transform = Lambda(affine_to_projective)(affine_transform)


In model summary it's seen as



lambda_1 (Lambda)               (None, 8)            0           affine_transform[0][0]


Is it possible to give this layer a name instead of lambda_1?










share|improve this question























  • Yes, did you try to give it a name?

    – Matias Valdenegro
    Nov 26 '18 at 16:57














0












0








0








I have following code inside my model definition



# (None, 6) -> (None, 8)
def affine_to_projective(x):
y = tf.pad(x,
paddings=tf.constant([[0, 0], [0, 2]]),
mode='CONSTANT',
constant_values=0
)
return y

projective_transform = Lambda(affine_to_projective)(affine_transform)


In model summary it's seen as



lambda_1 (Lambda)               (None, 8)            0           affine_transform[0][0]


Is it possible to give this layer a name instead of lambda_1?










share|improve this question














I have following code inside my model definition



# (None, 6) -> (None, 8)
def affine_to_projective(x):
y = tf.pad(x,
paddings=tf.constant([[0, 0], [0, 2]]),
mode='CONSTANT',
constant_values=0
)
return y

projective_transform = Lambda(affine_to_projective)(affine_transform)


In model summary it's seen as



lambda_1 (Lambda)               (None, 8)            0           affine_transform[0][0]


Is it possible to give this layer a name instead of lambda_1?







python keras deep-learning






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asked Nov 26 '18 at 16:54









mrgloommrgloom

5,6151164140




5,6151164140













  • Yes, did you try to give it a name?

    – Matias Valdenegro
    Nov 26 '18 at 16:57



















  • Yes, did you try to give it a name?

    – Matias Valdenegro
    Nov 26 '18 at 16:57

















Yes, did you try to give it a name?

– Matias Valdenegro
Nov 26 '18 at 16:57





Yes, did you try to give it a name?

– Matias Valdenegro
Nov 26 '18 at 16:57












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projective_transform = Lambda(affine_to_projective, name='lambda_name')(affine_transform)





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    1 Answer
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    projective_transform = Lambda(affine_to_projective, name='lambda_name')(affine_transform)





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      projective_transform = Lambda(affine_to_projective, name='lambda_name')(affine_transform)





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        projective_transform = Lambda(affine_to_projective, name='lambda_name')(affine_transform)





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        projective_transform = Lambda(affine_to_projective, name='lambda_name')(affine_transform)






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        answered Nov 26 '18 at 17:12









        Daniel MöllerDaniel Möller

        38k673109




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