January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Keras core layers
The Keras core layers implement fundamental operations that are used in almost every kind of network architecture. The following tables give a summary and description of the layers provided by Keras 2:
| Layer name | Description |
| Dense |
This is a simple fully connected neural network layer. This layer produces the output of the following function: activation((inputs x weights)+bias) where activation refers to the activation function passed to the layer, which is None by default. |
| Activation |
This layer applies the specified activation function to the output. This layer produces the output of the following function: activation(inputs) where activation refers to the activation function passed to the layer. The following ... |
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