Flatten a given input, does not affect the batch size.
layer_flatten(object, input_shape = NULL, dtype = NULL, name = NULL,
trainable = NULL, weights = NULL)
Model or layer object
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