Class Conv3D

3D convolution layer (e.g. spatial convolution over volumes). This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs.If use_bias is True, a bias vector is created and added to the outputs.Finally, if activation is not None, it is applied to the outputs as well. 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, 128, 1) for 128x128x128 volumes with a single channel, in data_format="channels_last".

Inheritance
System.Object
Keras
Base
BaseLayer
Conv3D
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 Conv3D : BaseLayer, IDisposable

Constructors

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Conv3D(Int32, Tuple<Int32, Int32, Int32>, Tuple<Int32, Int32, Int32>, String, String, Tuple<Int32, Int32, Int32>, String, Boolean, String, String, String, String, String, String, String, Shape)

Initializes a new instance of the Conv3D class.

Declaration
public Conv3D(int filters, Tuple<int, int, int> kernel_size, Tuple<int, int, int> strides = null, string padding = "valid", string data_format = "channels_last", Tuple<int, 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, System.Int32> kernel_size

An integer or tuple/list of 3 integers, specifying the depth, height and width of the 3D convolution window. Can be a single integer to specify the same value for all spatial dimensions.
System.Tuple<System.Int32, System.Int32, System.Int32> strides

An integer or tuple/list of 3 integers, specifying the strides of the convolution along each spatial dimension. 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_ratevalue != 1.
System.String padding

one of "valid" or "same" (case-insensitive).
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, spatial_dim1, spatial_dim2, spatial_dim3, channels) while "channels_first" corresponds to inputs with shape (batch, channels, spatial_dim1, spatial_dim2, spatial_dim3). 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, System.Int32> dilation_rate

an integer or tuple/list of 3 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

5D tensor with shape: (batch, channels, conv_dim1, conv_dim2, conv_dim3) if data_format is "channels_first" or 5D tensor with shape: (batch, conv_dim1, conv_dim2, conv_dim3, channels) if data_format is "channels_last".

Implements

System.IDisposable