keras: layer_reshape – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

keras

layer_reshape

Reshapes an output to a certain shape.

Description

Reshapes an output to a certain shape.

Usage

layer_reshape(
  object,
  target_shape,
  input_shape = NULL,
  batch_input_shape = NULL,
  batch_size = NULL,
  dtype = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

Arguments

`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_input_shape=c(10, 32)` indicates that the expected input will be batches of 10 32-dimensional vectors. `batch_input_shape=list(NULL, 32)` indicates batches of an arbitrary number of 32-dimensional vectors.
`batch_size`	Fixed batch size for layer
`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.

Input and Output Shapes

Input shape: Arbitrary, although all dimensions in the input shaped must be fixed.

Output shape: (batch_size,) + target_shape.