E-Index

E

Edge - Class in edu.uky.ai.ml.nn: Edges in a neural network are roughly equivalent to dendrites in a biological neuron.
Edge(Neuron, Random, Neuron) - Constructor for class edu.uky.ai.ml.nn.Edge: Constructs a new edge in the network.
edges - Variable in class edu.uky.ai.ml.nn.NeuralNetwork: All the weighted directed edges present in the network
edu.uky.ai.ml - package edu.uky.ai.ml: Contains an example exercise in which a neural network is trained to recognize images of capital letters.
edu.uky.ai.ml.nn - package edu.uky.ai.ml.nn: Contains classes for representing simple feed-forward neural networks whose neurons use the sigmoid activation function.
Error - Class in edu.uky.ai.ml.nn: An error function quantifies the difference between an expected value and an actual value.
Error() - Constructor for class edu.uky.ai.ml.nn.Error
ERROR_THRESHOLD - Static variable in class edu.uky.ai.ml.Main: The highest acceptable error for the network
evaluate(double[], double[]) - Static method in class edu.uky.ai.ml.nn.Error: Calculates the sum squared error of two vectors of equal length.
Example - Class in edu.uky.ai.ml.nn: An example is an individual data point that is part of a larger database.
Example(double[], double[], String) - Constructor for class edu.uky.ai.ml.nn.Example: Constructs a new training example.