Class Conv2DTranspose

Transposed convolution layer (sometimes called Deconvolution). The need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of a normal convolution, i.e., from something that has the shape of the output of some convolution to something that has the shape of its input while maintaining a connectivity pattern that is compatible with said convolution. When using this layer as the first layer in a model, provide the keyword argument input_shape (tuple of integers, does not include the batch axis), e.g. input_shape=(128, 128, 3) for 128x128 RGB pictures in data_format="channels_last".

Inheritance

System.Object

Keras

Base

BaseLayer

Conv2DTranspose

Implements

System.IDisposable

Inherited Members

BaseLayer.Set(BaseLayer[])

Base.Parameters

Base.None

Base.Init()

Base.ToPython()

Base.InvokeStaticMethod(Object, String, Dictionary<String, Object>)

Base.InvokeMethod(String, Dictionary<String, Object>)

Base.Item[String]

Keras.Instance

Keras.keras

Keras.keras2onnx

Keras.tfjs

Keras.Dispose()

Keras.ToTuple(Array)

Keras.ToList(Array)

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 Conv2DTranspose : BaseLayer, IDisposable

Constructors

Conv2DTranspose(Int32, Tuple<Int32, Int32>, Tuple<Int32, Int32>, String, Tuple<Int32, Int32>, String, Tuple<Int32, Int32>, String, Boolean, String, String, String, String, String, String, String, Shape)

Initializes a new instance of the Conv2DTranspose class.

Declaration

public Conv2DTranspose(int filters, Tuple<int, int> kernel_size, Tuple<int, int> strides = null, string padding = "valid", Tuple<int, int> output_padding = null, string data_format = "channels_last", Tuple<int, int> dilation_rate = null, string activation = "", bool use_bias = true, string kernel_initializer = "glorot_uniform", string bias_initializer = "zeros", string kernel_regularizer = "", string bias_regularizer = "", string activity_regularizer = "", string kernel_constraint = "", string bias_constraint = "", Shape input_shape = null)

Parameters

Type	Name	Description
System.Int32	filters	Integer, the dimensionality of the output space (i.e. the number of output filters in the convolution).
System.Tuple<System.Int32, System.Int32>	kernel_size	An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window. Can be a single integer to specify the same value for all spatial dimensions.
System.Tuple<System.Int32, System.Int32>	strides	An integer or tuple/list of 2 integers, specifying the strides of the convolution along the height and width. Can be a single integer to specify the same value for all spatial dimensions. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1.
System.String	padding	one of "valid" or "same" (case-insensitive).
System.Tuple<System.Int32, System.Int32>	output_padding	An integer or tuple/list of 2 integers, specifying the amount of padding along the height and width of the output tensor. Can be a single integer to specify the same value for all spatial dimensions. The amount of output padding along a given dimension must be lower than the stride along that same dimension. If set to None (default), the output shape is inferred.
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.Tuple<System.Int32, System.Int32>	dilation_rate	an integer or tuple/list of 2 integers, specifying the dilation rate to use for dilated convolution. Can be a single integer to specify the same value for all spatial dimensions. Currently, specifying any dilation_rate value != 1 is incompatible with specifying any stride value != 1.
System.String	activation	Activation function to use (see activations). If you don't specify anything, no activation is applied (ie. "linear" activation: a(x) = x).
System.Boolean	use_bias	Boolean, whether the layer uses a bias vector.
System.String	kernel_initializer	Initializer for the kernel weights matrix (see initializers).
System.String	bias_initializer	Initializer for the bias vector (see initializers).
System.String	kernel_regularizer	Regularizer function applied to the kernel weights matrix (see regularizer).
System.String	bias_regularizer	Regularizer function applied to the bias vector (see regularizer).
System.String	activity_regularizer	Regularizer function applied to the output of the layer (its "activation"). (see regularizer).
System.String	kernel_constraint	Constraint function applied to the kernel matrix (see constraints).
System.String	bias_constraint	Constraint function applied to the bias vector (see constraints).
Shape	input_shape	4D tensor with shape: (batch, channels, rows, cols) if data_format is "channels_first" or 4D tensor with shape: (batch, rows, cols, channels) if data_format is "channels_last".

Implements

System.IDisposable