3 releases
0.1.2 | Aug 16, 2024 |
---|---|
0.1.1 | Aug 16, 2024 |
0.1.0 | Aug 16, 2024 |
#7 in #unsupervised
55KB
1.5K
SLoC
CTRNN
CTRNN framework for Rust.
Network types:
HashNetwork
: Network with flexible HashMap neuron connections, ideal for large, sparse networks.SsmNetwork
: Single-threaded network using a centralized synaptic strength matrix.PowerNetwork
: Multi-threaded, distributable network using a centralized synaptic strength matrix.
Usage:
use ctrnn::PowerNetwork;
// PowerNetwork(size, d_in, d_out, worker_cores)
let mut power = PowerNetwork::new(24, 1, 1, 8).unwrap();
// PowerNetwork.weave(neural_density)
power.weave(0.8)
// PowerNetwork.forward(inputs, next_tau, step_size)
let inputs = vec![0.3];
let next_tau = ctrnn::get_ts() + 3.;
let step_size = 0.001;
power.forward(inputs, next_tau, step_size);
let losses: Vec<f64> = my_loss_fn();
let learning_rate = 0.01;
power.backward(learning_rate, losses).unwrap();
Dependencies
~2.9–6MB
~110K SLoC