Index

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R

randomIndices(int) - Static method in class com.jml.util.ArrayUtils

Generates an array of random unique integers.

RandomNormal - Class in com.jml.neural_network.layers.initilizers

layer parameter initializer to produce random values from a normal distribution.

RandomNormal() - Constructor for class com.jml.neural_network.layers.initilizers.RandomNormal

Creates a RandomNormal initializer with mean 0 and standard deviation 1.

RandomNormal(double) - Constructor for class com.jml.neural_network.layers.initilizers.RandomNormal

Creates a RandomNormal initializer with mean 0 and specified standard deviation.

RandomNormal(double, double) - Constructor for class com.jml.neural_network.layers.initilizers.RandomNormal

Creates a RandomNormal initializer with specified mean and standard deviation.

RandomNormal(double, double, long) - Constructor for class com.jml.neural_network.layers.initilizers.RandomNormal

Creates a RandomNormal initializer with specified mean and standard deviation.

RandomUniform - Class in com.jml.neural_network.layers.initilizers

layer parameter initializer to produce random values from a uniform distribution.

RandomUniform() - Constructor for class com.jml.neural_network.layers.initilizers.RandomUniform

Creates a RandomUniform Initializer within [0, 1].

RandomUniform(double, double) - Constructor for class com.jml.neural_network.layers.initilizers.RandomUniform

Creates a RandomUniform Initializer with specified range.

RandomUniform(double, double, long) - Constructor for class com.jml.neural_network.layers.initilizers.RandomUniform

Creates a RandomUniform Initializer with specified range and seed.

readCSVtoDouble(String) - Static method in class com.jml.util.FileManager

Reads a CSV (comma seperated value) file into a 2D array of doubles.

readCSVtoString(String) - Static method in class com.jml.util.FileManager

Reads a CSV (comma seperated value) file into a 2D array of String.

readFile(String) - Static method in class com.jml.util.FileManager

Reads content from a file.

relu - Static variable in class com.jml.neural_network.activations.Activations

A pre-defined instance of the Relu (Rectified Linear Unit) activation function.

relu() - Static method in class com.jml.neural_network.activations.Activations

Creates and returns a new relu activatoin function.

Relu - Class in com.jml.neural_network.activations

The ReLU (Rectified Linear Unit) activation function.

Relu() - Constructor for class com.jml.neural_network.activations.Relu

resetGradients() - Method in interface com.jml.neural_network.layers.BaseLayer

Resets the gradients for this layers' trainable parameters.

resetGradients() - Method in class com.jml.neural_network.layers.Dense

Resists the accumulation of gradients for this layer.

resetGradients() - Method in class com.jml.neural_network.layers.Linear

Resists the accumulation of gradients for this layer.

resetGradients() - Method in interface com.jml.neural_network.layers.TrainableLayer

Resists the accumulation of gradients for this layer.

round(double[][], int) - Static method in class com.jml.util.ArrayUtils

Rounds all numbers in array to n decimal places.

round(double[], int) - Static method in class com.jml.util.ArrayUtils

Rounds all numbers in array to n decimal places.

round(double, int) - Static method in class com.jml.core.Stats

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