Index

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A
	AccessorEnumerator<T>
	ActivationFunction, FANNCSharp
	ActivationFunction.cs
	ActivationFunctionHidden FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet FANNCSharp.Float.NeuralNet
	ActivationFunctionOutput FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet FANNCSharp.Float.NeuralNet
	ActivationSteepnessHidden FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet FANNCSharp.Float.NeuralNet
	ActivationSteepnessOutput FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet FANNCSharp.Float.NeuralNet
	Array ArrayAccessor DoubleArrayAccessor.cs FloatArrayAccessor.cs IntArrayAccessor.cs DataAccessor DoubleAccessor.cs FloatAccessor.cs IntAccessor.cs
	ArrayAccessor DoubleArrayAccessor.cs FloatArrayAccessor.cs IntArrayAccessor.cs
B
	BiasArray, FANNCSharp.Float.NeuralNet
	Biases FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet
	BitFail FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet FANNCSharp.Float.NeuralNet
	BitFailLimit FANNCSharp.Double.NeuralNet FANNCSharp.Fixed.NeuralNet FANNCSharp.Float.NeuralNet

An Enumerator for the <IAccessor<T>> interface

The activation functions used for the neurons during training.

public ActivationFunction ActivationFunctionHidden { set }

Set the activation function for all of the hidden layers.

public ActivationFunction ActivationFunctionHidden { set }

Set the activation function for all of the hidden layers.

public ActivationFunction ActivationFunctionHidden { set }

Set the activation function for all of the hidden layers.

public ActivationFunction ActivationFunctionOutput { set }

Set the activation function for the output layer.

public ActivationFunction ActivationFunctionOutput { set }

Set the activation function for the output layer.

public ActivationFunction ActivationFunctionOutput { set }

Set the activation function for the output layer.

public double ActivationSteepnessHidden { set }

Set the steepness of the activation steepness in all of the hidden layers.

public int ActivationSteepnessHidden { set }

Set the steepness of the activation steepness in all of the hidden layers.

public float ActivationSteepnessHidden { set }

Set the steepness of the activation steepness in all of the hidden layers.

public double ActivationSteepnessOutput { set }

Set the steepness of the activation steepness in the output layer.

public int ActivationSteepnessOutput { set }

Set the steepness of the activation steepness in the output layer.

public float ActivationSteepnessOutput { set }

Set the steepness of the activation steepness in the output layer.

Copies the Accessor’s array’s values to arrays and puts then in array

Copies the Accessor’s values to an array

Provides fast access to an array of array of doubles

public uint[] BiasArray { get }

Get the number of bias in each layer in the network.

public uint[] Biases { get }

Get the number of bias in each layer in the network.

public uint[] Biases { get }

Get the number of bias in each layer in the network.

public uint BitFail { get }

Gets or set the number of fail bits.

public uint BitFail { get }

Gets or set the number of fail bits.

public uint BitFail { get }

Gets or set the number of fail bits.

public double BitFailLimit { get, set }

Gets or sets the bit fail limit used during training.

public int BitFailLimit { get, set }

Gets or sets the bit fail limit used during training.

public float BitFailLimit { get, set }

Gets or sets the bit fail limit used during training.