neural network, feed forward

This commit is contained in:
sparshg 2022-10-09 23:44:22 +05:30
parent 3d633c435d
commit 80fb255c36
6 changed files with 266 additions and 22 deletions

206
Cargo.lock generated
View File

@ -19,6 +19,15 @@ dependencies = [
"version_check",
]
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@ -128,7 +137,9 @@ name = "genetic"
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"macroquad-particles",
"nalgebra",
"rand",
"rand_distr",
]
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@ -210,15 +227,6 @@ dependencies = [
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]
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@ -234,6 +242,15 @@ dependencies = [
"libc",
]
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@ -261,12 +278,49 @@ dependencies = [
"adler",
]
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@ -295,6 +349,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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@ -321,6 +376,12 @@ version = "1.15.0"
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@ -333,6 +394,21 @@ dependencies = [
"miniz_oxide",
]
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name = "ppv-lite86"
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@ -361,6 +437,83 @@ dependencies = [
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@ -370,12 +523,35 @@ dependencies = [
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@ -388,6 +564,16 @@ version = "0.11.0+wasi-snapshot-preview1"
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@ -7,4 +7,6 @@ edition = "2021"
[dependencies]
macroquad = "0.3.24"
macroquad-particles = "0.1.1"
nalgebra = { version = "0.31.1", features = ["rand-no-std"] }
rand = "0.8.5"
rand_distr = "0.4.3"

View File

@ -1,11 +1,11 @@
mod asteroids;
mod nn;
mod player;
mod utils;
mod world;
use asteroids::Asteroid;
use macroquad::prelude::*;
use player::Player;
use nn::NN;
use world::World;
#[macroquad::main("Camera")]
@ -17,13 +17,14 @@ async fn main() {
};
set_camera(&cam);
let mut world = World::new();
let nn = NN::new(vec![2, 3, 2]);
nn.feed_forward(vec![2., 3.]);
loop {
clear_background(BLACK);
if !world.over {
world.update();
}
world.draw();
// clear_background(BLACK);
// if !world.over {
// world.update();
// }
// world.draw();
next_frame().await
}
}

55
src/nn.rs Normal file
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@ -0,0 +1,55 @@
use nalgebra::*;
use rand_distr::StandardNormal;
extern crate rand as r;
enum ActivationFunc {
Sigmoid,
Tanh,
ReLU,
}
pub struct NN {
config: Vec<usize>,
weights: Vec<DMatrix<f32>>,
activ_func: ActivationFunc,
}
impl NN {
// Vec of number of neurons in input, hidden 1, hidden 2, ..., output layers
pub fn new(config: Vec<usize>) -> Self {
let mut rng = r::thread_rng();
Self {
config: config
.iter()
.enumerate()
.map(|(i, &x)| if i != config.len() - 1 { x + 1 } else { x })
.collect(),
// He-et-al Initialization
weights: config
.iter()
.zip(config.iter().skip(1))
.map(|(&curr, &last)| {
DMatrix::<f32>::from_distribution(last, curr + 1, &StandardNormal, &mut rng)
* (2. / last as f32).sqrt()
})
.collect(),
activ_func: ActivationFunc::ReLU,
}
}
pub fn feed_forward(&self, inputs: Vec<f32>) {
let mut y = DMatrix::from_vec(inputs.len(), 1, inputs);
for i in 0..self.config.len() - 1 {
println!("{} {}", y, self.weights[i]);
y = (&self.weights[i] * y.insert_row(self.config[i] - 1, 1.)).map(|x| {
match self.activ_func {
ActivationFunc::ReLU => x.max(0.),
ActivationFunc::Sigmoid => 1. / (1. + (-x).exp()),
ActivationFunc::Tanh => x.tanh(),
}
});
}
println!("{}", y);
}
}

View File

@ -19,8 +19,8 @@ pub struct Player {
impl Player {
pub fn new() -> Self {
Self {
dir: vec2(0., 1.),
rot: PI / 2.,
dir: vec2(0., -1.),
rot: -PI / 2.,
drag: 0.001,
shot_interval: 0.3,
alive: true,

View File

@ -45,7 +45,7 @@ impl World {
));
}
AsteroidSize::Medium => {
let rand = vec2(gen_range(-30., 30.), gen_range(-30., 30.));
let rand = vec2(gen_range(-40., 40.), gen_range(-40., 40.));
to_add.push(Asteroid::new_from(
asteroid.pos,
asteroid.vel + rand,