Class ConvLSTM2DCell

Cell class for the ConvLSTM2D layer.

Inheritance
System.Object
Keras
Base
BaseLayer
RNN
ConvLSTM2DCell
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 ConvLSTM2DCell : RNN, IDisposable

Constructors

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ConvLSTM2DCell(Int32, Tuple<Int32, Int32>, Tuple<Int32, Int32>, String, String, Tuple<Int32, Int32>, String, String, Boolean, String, String, String, Boolean, String, String, String, String, String, String, String, Single, Single, Shape)

Initializes a new instance of the ConvLSTM2DCell class.

Declaration
public ConvLSTM2DCell(int filters, Tuple<int, int> kernel_size, Tuple<int, int> strides = null, string padding = "valid", string data_format = "", Tuple<int, int> dilation_rate = null, string activation = "tanh", string recurrent_activation = "hard_sigmoid", bool use_bias = true, string kernel_initializer = "glorot_uniform", string recurrent_initializer = "orthogonal", string bias_initializer = "zeros", bool unit_forget_bias = true, string kernel_regularizer = "", string recurrent_regularizer = "", string bias_regularizer = "", string activity_regularizer = "", string kernel_constraint = "", string recurrent_constraint = "", string bias_constraint = "", float dropout = 0F, float recurrent_dropout = 0F, Shape input_shape = null)
Parameters
Type Name Description
System.Int32 filters

Integer, the dimensionality of the output space (i.e. the number output of filters in the convolution).
System.Tuple<System.Int32, System.Int32> kernel_size

An integer or tuple/list of n integers, specifying the dimensions of the convolution window.
System.Tuple<System.Int32, System.Int32> strides

An integer or tuple/list of n integers, specifying the strides of the convolution. 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.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, time, ..., channels) while "channels_first" corresponds to inputs with shape (batch, time, channels, ...). 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 n integers, specifying the dilation rate to use for dilated convolution. Currently, specifying any dilation_rate value != 1 is incompatible with specifying any strides 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.String recurrent_activation

Activation function to use for the recurrent step (see activations).
System.Boolean use_bias

Boolean, whether the layer uses a bias vector.
System.String kernel_initializer

Initializer for the kernel weights matrix, used for the linear transformation of the inputs. (see initializers).
System.String recurrent_initializer

Initializer for the recurrent_kernel weights matrix, used for the linear transformation of the recurrent state. (see initializers).
System.String bias_initializer

Initializer for the bias vector (see initializers).
System.Boolean unit_forget_bias

Boolean. If True, add 1 to the bias of the forget gate at initialization. Use in combination with bias_initializer="zeros". This is recommended in Jozefowicz et al. (2015).
System.String kernel_regularizer

Regularizer function applied to the kernel weights matrix (see regularizer).
System.String recurrent_regularizer

Regularizer function applied to the recurrent_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 weights matrix (see constraints).
System.String recurrent_constraint

Constraint function applied to the recurrent_kernel weights matrix (see constraints).
System.String bias_constraint

Constraint function applied to the bias vector (see constraints).
System.Single dropout

Float between 0 and 1. Fraction of the units to drop for the linear transformation of the inputs.
System.Single recurrent_dropout

Float between 0 and 1. Fraction of the units to drop for the linear transformation of the recurrent state.
Shape input_shape

The input shape.

Implements

System.IDisposable