Class LocallyConnected2D

Locally-connected layer for 2D inputs. The LocallyConnected2D layer works similarly to the Conv2D layer, except that weights are unshared, that is, a different set of filters is applied at each different patch of the input.

Inheritance
System.Object
Keras
Base
BaseLayer
LocallyConnected2D
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 LocallyConnected2D : BaseLayer, IDisposable

Constructors

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LocallyConnected2D(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 LocallyConnected2D class.

Declaration
public LocallyConnected2D(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 width and height 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 width and height. Can be a single integer to specify the same value for all spatial dimensions.
System.String padding

Currently only support "valid" (case-insensitive). "same" will be supported in future.
System.String data_format

A string, one of channels_last (default) 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
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: (samples, channels, rows, cols) if data_format='channels_first' or 4D tensor with shape: (samples, rows, cols, channels) if data_format='channels_last'.

Implements

System.IDisposable