January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Keras advanced activation layers
These layers implement advanced activation functions that cannot be implemented as a simple underlying backend function. They operate similarly to the Activation() layer that we covered in the core layers section:
|
Layer Name |
Description |
|
LeakyReLU |
This layer computes the leaky version of the ReLU activation function. |
| PReLU | This layer computes the parametric ReLU activation function. |
| ELU | This layer computes the exponential linear unit activation function. |
| ThresholdedReLU | This layer computes the thresholded version of the ReLU activation function. |
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