Class UpSampling2D

Upsampling layer for 2D inputs. Repeats the rows and columns of the data by size[0] and size[1] respectively.

Inheritance
System.Object
Keras
Base
BaseLayer
UpSampling2D
Implements
System.IDisposable
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Keras.Layers
Assembly: Keras.dll
Syntax
public class UpSampling2D : BaseLayer, IDisposable

Constructors

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UpSampling2D(Tuple<Int32, Int32>, String, String, Shape)

Initializes a new instance of the UpSampling2D class.

Declaration
public UpSampling2D(Tuple<int, int> size = null, string data_format = "", string interpolation = "nearest", Shape input_shape = null)
Parameters
Type Name Description
System.Tuple<System.Int32, System.Int32> size

int, or tuple of 2 integers. The upsampling factors for rows and columns.
System.String data_format

A string, one of "channels_last" or "channels_first". The ordering of the dimensions in the inputs. "channels_last" corresponds to inputs with shape (batch, height, width, channels) while "channels_first" corresponds to inputs with shape (batch, channels, height, width). 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".
System.String interpolation

A string, one of nearest or bilinear. Note that CNTK does not support yet the bilinear upscaling and that with Theano, only size=(2, 2) is possible.
Shape input_shape

4D tensor with shape: - If data_format is "channels_last": (batch, rows, cols, channels) - If data_format is "channels_first": (batch, channels, rows, cols)

Implements

System.IDisposable