Flatten a given input, does not affect the batch size.
layer_flatten(object, data_format = "channels_last", input_shape = NULL,
dtype = NULL, name = NULL, trainable = NULL, weights = NULL)
Model or layer object
A string, one of channels_last
(default) or
channels_first
. The ordering of the dimensions in the inputs.
channels_last
corresponds to inputs with shape (batch, ..., channels)
while channels_first
corresponds to inputs with shape (batch, channels, ...)
.
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.
The data type expected by the input, as a string (float32
,
float64
, int32
...)
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.
Whether the layer weights will be updated during training.
Initial weights for layer.
Other core layers: layer_activation
,
layer_activity_regularization
,
layer_dense
, layer_dropout
,
layer_input
, layer_lambda
,
layer_masking
, layer_permute
,
layer_repeat_vector
,
layer_reshape