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DOC: Resolve errors in Ubuntu Sanity checks

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This commit is contained in:
Bharat123rox 2020-04-28 10:33:34 +05:30
parent 8856a4f547
commit f113e0e361
1 changed files with 4 additions and 3 deletions
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7
tensorflow/python/keras/activations.py
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@ -104,7 +104,8 @@ def elu(x, alpha=1.0):
>>> from tensorflow.keras import models, layers >>> from tensorflow.keras import models, layers
>>> model = models.Sequential() >>> model = models.Sequential()
>>> model.add(layers.Conv2D(32, (3, 3), activation='elu', input_shape=(28, 28, 1))) >>> model.add(layers.Conv2D(32, (3, 3), activation='elu',
... input_shape=(28, 28, 1)))
>>> model.add(layers.MaxPooling2D((2, 2))) >>> model.add(layers.MaxPooling2D((2, 2)))
>>> model.add(layers.Conv2D(64, (3, 3), activation='elu')) >>> model.add(layers.Conv2D(64, (3, 3), activation='elu'))
>>> model.add(layers.MaxPooling2D((2, 2))) >>> model.add(layers.MaxPooling2D((2, 2)))
@ -124,8 +125,8 @@ def elu(x, alpha=1.0):
Reference: Reference:
[Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) [Fast and Accurate Deep Network Learning by Exponential Linear Units
(Clevert et al, 2016)](https://arxiv.org/abs/1511.07289) (ELUs) (Clevert et al, 2016)](https://arxiv.org/abs/1511.07289)
""" """
return K.elu(x, alpha) return K.elu(x, alpha)