Keras Layers
Keras provides several built-in layer classes for the easy construction of the network architecture. The following sections give a summary and description of the various types of layers provided by Keras 2 at the time of writing this book.
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 |
| 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 |
| 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 activation functions... |
