Package edu.uky.ai.ml.nn

Contains classes for representing simple feed-forward neural networks whose neurons use the sigmoid activation function.

Class Summary

Class	Description
Database	A database is simply a collection of training examples on which a neural network can be trained.
Edge	Edges in a neural network are roughly equivalent to dendrites in a biological neuron.
Error	An error function quantifies the difference between an expected value and an actual value.
Example	An example is an individual data point that is part of a larger database.
InputLayer	A special subclass of Layer representing the input layer.
InputNeuron	A special subclass of Neuron whose value can be directly set.
Layer	A layer is a collection of neurons in a neural network.
NeuralNetwork	A neural network is a computational model, based roughly on biological networks of neurons, which can be trained to perform well on various kinds of classification and non-linear regression tasks.
Neuron	A neuron is the fundamental building block of a neural network and is meant to roughly parallel a biological neuron.