Flatten a given input, does not affect the batch size.

layer_flatten(object, input_shape = NULL, dtype = NULL, name = NULL,
  trainable = NULL, weights = NULL)

Arguments

object

Model or layer object

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.

dtype

The data type expected by the input, as a string (float32, float64, int32...)

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.

See also

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