layer_reshape {keras} | R Documentation |
Reshapes an output to a certain shape.
layer_reshape(object, target_shape, input_shape = NULL, batch_input_shape = NULL, batch_size = NULL, dtype = NULL, name = NULL, trainable = NULL, weights = NULL)
object |
Model or layer object |
target_shape |
List of integers, does not include the samples dimension (batch size). |
input_shape |
Input shape (list of integers, does not include the samples axis) which is required when using this layer as the first layer in a model. |
batch_input_shape |
Shapes, including the batch size. For instance,
|
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. |
Input shape: Arbitrary, although all dimensions in the input shaped must be fixed.
Output shape: (batch_size,) + target_shape
.
Other core layers: layer_activation
,
layer_activity_regularization
,
layer_dense
, layer_dropout
,
layer_flatten
, layer_input
,
layer_lambda
, layer_masking
,
layer_permute
,
layer_repeat_vector