<sod>  In [[neural network]] computers, many computing units with many connections between these units work in concert to solve problems. While there are many architectures following this general model, the ''programming'' of these computers often consists of weights on each connection and thresholds within the nodes. As the machine "learns", these weights and thresholds change. In most neural networks, the learned state can be saved and later restored, making it a computer program.
 
 Some neural networks learn from scratch every time they are turned on, and don't have programs, per se. 
 
 ==Virtual machines==
 
 <eod> <sod> In [[neural network]] computers, many computing units with many connections between these units work in concert to solve problems. While there are many architectures following this general model, the ''programming'' of these computers often consists of weights on each connection and thresholds within the nodes. As the machine "learns", these weights and thresholds change. In most neural networks, the learned state can be saved and later restored, making it a computer program.
 
 Some neural networks learn from scratch every time they are turned on, and don't have programs, per se. 

This is a user of eCritters. Tell me CJ's password! NOW!
 
 ==Virtual machines==
 
 <eod>