Class Conv1D

1D convolution layer (e.g. temporal convolution). This layer creates a convolution kernel that is convolved with the layer input over a single spatial(or temporal) dimension 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 an input_shape argument (tuple of integers or None, does not include the batch axis), e.g. input_shape=(10, 128) for time series sequences of 10 time steps with 128 features per step in data_format="channels_last", or (None, 128) for variable-length sequences with 128 features per step.

Inheritance

System.Object

Keras

Base

BaseLayer

Conv1D

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 Conv1D : BaseLayer, IDisposable

Constructors

Conv1D(Int32, Int32, Int32, String, String, Int32, String, Boolean, String, String, String, String, String, String, String, Shape)

Initializes a new instance of the Conv1D class.

Declaration

public Conv1D(int filters, int kernel_size, int strides = 1, string padding = "valid", string data_format = "channels_last", int dilation_rate = 1, 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.Int32	kernel_size	An integer or tuple/list of a single integer, specifying the length of the 1D convolution window.
System.Int32	strides	An integer or tuple/list of a single integer, specifying the stride length of the convolution. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1.
System.String	padding	One of "valid", "causal" or "same" (case-insensitive). "valid" means "no padding". "same" results in padding the input such that the output has the same length as the original input. "causal" results in causal (dilated) convolutions, e.g. output[t] does not depend on input[t + 1:]. A zero padding is used such that the output has the same length as the original input. Useful when modeling temporal data where the model should not violate the temporal order. See WaveNet: A Generative Model for Raw Audio, section 2.1.
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, steps, channels) (default format for temporal data in Keras) while "channels_first" corresponds to inputs with shape (batch, channels, steps).
System.Int32	dilation_rate	an integer or tuple/list of a single integer, 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.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	3D tensor with shape: (batch, steps, channels)

Implements

System.IDisposable