WekaNet: Weka Artificial Neural Network
=======================================

WekaNet contains an artificial neural network framework for use with [Weka](http://www.cs.waikato.ac.nz/ml/weka/index.html) that provides more
control of the network structure than what is available in Weka's `MultilayerPerceptron` classifier.

Requires Java JDK 1.8+.

Features
--------

- Networks, layers, and neurons are created with builders, so they are never in an intermediary state.
- All neurons in adjacent layers do not need to be connected (as in a multilayer perceptron), though this is the default behavior.
- Each neuron can have its own input and activation functions, including user-defined functions.

WekaNet: Weka Artificial Neural Network
=======================================

WekaNet contains an artificial neural network framework for use with [Weka](http://www.cs.waikato.ac.nz/ml/weka/index.html) that provides more
control of the network structure than what is available in Weka's `MultilayerPerceptron` classifier.

Requires JDK 8+

Features
--------

- Networks, layers, and neurons are created with builders, so they are never in an intermediary state.
- All neurons in adjacent layers do not need to be connected (as in a multilayer perceptron), though this is the default behavior.
- Each neuron can have its own input and activation functions, including user-defined functions.

Use JDK product name instead of version number
Use JDK product name instead of version number
