R: Flattens an input

layer_flatten {keras}

R Documentation

Flattens an input

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

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

`object`	What to compose the new `Layer` instance with. Typically a Sequential model or a Tensor (e.g., as returned by `layer_input()`). The return value depends on `object`. If `object` is: missing or `NULL`, the `Layer` instance is returned. a `Sequential` model, the model with an additional layer is returned. a Tensor, the output tensor from `layer_instance(object)` is returned.
`data_format`	A string. one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. The purpose of this argument is to preserve weight ordering when switching a model from one data format to another. `channels_last` corresponds to inputs with shape `⁠(batch, ..., channels)⁠` while `channels_first` corresponds to inputs with shape `⁠(batch, channels, ...)⁠`. It defaults to the `image_data_format` value found in your Keras config file at `⁠~/.keras/keras.json⁠`. If you never set it, then it will be "channels_last".
`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.