Class Dense

Just your regular densely-connected NN layer. Dense implements the operation: output = activation(dot(input, kernel) + bias) where activation is the element-wise activation function passed as the activation argument, kernel is a weights matrix created by the layer, and bias is a bias vector created by the layer(only applicable if use_bias is True). Note: if the input to the layer has a rank greater than 2, then it is flattened prior to the initial dot product with kernel.

Inheritance

System.Object

Keras

Base

BaseLayer

Dense

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 Dense : BaseLayer, IDisposable

Constructors

Dense(Int32, Nullable<Int32>, String, Boolean, String, String, String, String, String, String, String, Shape)

Initializes a new instance of the Dense class.

Declaration

public Dense(int units, int? input_dim = default(int? ), 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	units	Positive integer, dimensionality of the output space.
System.Nullable<System.Int32>	input_dim
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 weights matrix (see constraints).
System.String	bias_constraint	Constraint function applied to the bias vector (see constraints).
Shape	input_shape	nD tensor with shape: (batch_size, ..., input_dim). The most common situation would be a 2D input with shape (batch_size, input_dim).

Implements

System.IDisposable