Expand description
A library for creating, using, and modifying artificial neural networks using the Common
Genetic Encoding (CGE). See const_cge
for a similar library geared towards embedded
environments and performance-critical use cases. For the creation of CGE-compatible neural
networks, see the eant2
library.
Quick Start
To load and use an existing neural network from a file:
use cge::{Network, WithRecurrentState};
// `extra` is any user-defined data stored alongside the network
let (mut network, metadata, extra) =
Network::<f64>::load_file::<(), _>("network.cge", WithRecurrentState(true)).unwrap();
println!("description: {:?}", metadata.description);
println!("num inputs, outputs: {}, {}", network.num_inputs(), network.num_outputs());
println!("{:?}", network.evaluate(&[1.0, 2.0]).unwrap());
network.clear_state();
println!("{:?}", network.evaluate(&[2.0, 0.0]).unwrap());
See Network
for full documentation.
Re-exports
pub use self::activation::Activation;
pub use self::encoding::WithRecurrentState;
pub use self::network::Network;
Modules
Handling of neuron activation functions.
A portable encoding for cge
Network
s. See PortableCGE
.