【Rust 日報】2020-10-21 討論:為什麼 Rust 沒有自增和自減運算符

Rust 玩具神經網絡用 Rust 實現的玩具神經網絡，靈感來自於 11行Python代碼實現玩具神經網絡

// Original python code
// https://iamtrask.github.io/2015/07/12/basic-python-network/
// Neural Network = 3 inputs, 4 hidden, 1 output with sigmoid activation

use ndarray::{array, Array};
use ndarray_rand::{rand::SeedableRng, rand_distr::Uniform, RandomExt}; // random matrix generation
use rand_isaac::isaac64::Isaac64Rng; // for setting seed

fn main() -> std::io::Result<()> {
// set seeds
let seed = 42;
let mut rng = Isaac64Rng::seed_from_u64(seed);

// dataset
let x = array![[0., 0., 1.], [0., 1., 1.], [1., 0., 1.], [1., 1., 1.]];
let y = array![[0., 1., 1., 0.]].reversed_axes();

// initializing random weights
let mut w0 = Array::random_using((3, 4), Uniform::new(0., 1.), &mut rng); // syn0
let mut w1 = Array::random_using((4, 1), Uniform::new(0., 1.), &mut rng); // syn1

for i in 0..1001 {
// forward propagation
let hidden = -x.dot(&w0); // l1
let hidden = 1. / (1. + (hidden.mapv(f64::exp)));
let output = -hidden.dot(&w1); // l2
let output = 1. / (1. + (output.mapv(f64::exp)));

// gradient calculation
let output_delta = (&y - &output) * (output.clone() * (1. - &output)); // l2_delta
let hidden_delta = output_delta.dot(&w1.t()) * (hidden.clone() * (1. - &hidden)); // l1_delta

// update weights
w1 = &w1 + &hidden.t().dot(&output_delta);
w0 = &w0 + &x.t().dot(&hidden_delta);

if i % 100 == 0 {
println!("Epoch: {} \n {:?}\n", i,output);
}

}

Ok(())
}

原文連結： https://www.reddit.com/r/rust/comments/jf6t5v/toy_neural_network_in_rust/Reddit 討論：為什麼 Rust 沒有自增（++）和自減（--）運算符？https://www.reddit.com/r/rust/comments/jf66eu/why_are_there_no_increment_and_decrement/加密貨幣監測平臺 Cryptowatch 推出基於 Iced 的客戶端

Iced：是跨平臺的 Rust GUI 庫

https://cryptowat.ch/apps/desktop博客：Rust 生命周期https://blog.thoughtram.io/lifetimes-in-rust/視頻：STM32 Rust 系列教程https://www.youtube.com/playlist?list=PLDWmoWFf46givBRQmh5DyE27OsXMJPfagRust Careers : Rust 招聘網站

https://rust.careers/