Layer that multiplies (element-wise) 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_multiply(inputs, batch_size = NULL, dtype = NULL, name = NULL,
trainable = NULL, weights = NULL)Arguments
| 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. |
Value
A tensor, the element-wise product of the inputs.
See also
Other merge layers: layer_add,
layer_average,
layer_concatenate, layer_dot,
layer_maximum, layer_minimum,
layer_subtract