Layer that averages a list of inputs.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).
layer_average( inputs, batch_size = NULL, dtype = NULL, name = NULL, trainable = NULL, weights = NULL )
inputs |
A list of input tensors (at least 2). |
batch_size |
Fixed batch size for layer |
dtype |
The data type expected by the input, as a string ( |
name |
An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided. |
trainable |
Whether the layer weights will be updated during training. |
weights |
Initial weights for layer. |
A tensor, the average of the inputs.
Other merge layers:
layer_add()
,
layer_concatenate()
,
layer_dot()
,
layer_maximum()
,
layer_minimum()
,
layer_multiply()
,
layer_subtract()
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