Class Conv2D

2D convolution layer (e.g. spatial convolution over images). 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, 3) for 128x128 RGB pictures in data_format="channels_last".

Inheritance

System.Object

Keras

Base

BaseLayer

Conv2D

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 Conv2D : BaseLayer, IDisposable

Constructors

Conv2D(Int32, Tuple<Int32, Int32>, Tuple<Int32, Int32>, String, String, Tuple<Int32, Int32>, String, Boolean, String, String, String, String, String, String, String, Shape)

Initializes a new instance of the Conv2D class.

Declaration

public Conv2D(int filters, Tuple<int, int> kernel_size, Tuple<int, int> strides = null, string padding = "valid", 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). Note that "same" is slightly inconsistent across backends with strides != 1, as described here
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