Проба примера

Cargo.lock

@@ -5,3 +5,151 @@ version = 3
 [[package]]
 name = "Neur"
 version = "0.1.0"
+dependencies = [
+ "rand",
+ "serde",
+ "serde_json",
+]
+
+[[package]]
+name = "cfg-if"
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+checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
+
+[[package]]
+name = "getrandom"
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+checksum = "fe9006bed769170c11f845cf00c7c1e9092aeb3f268e007c3e760ac68008070f"
+dependencies = [
+ "cfg-if",
+ "libc",
+ "wasi",
+]
+
+[[package]]
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+source = "registry+https://github.com/rust-lang/crates.io-index"
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+
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+
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+
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+dependencies = [
+ "unicode-ident",
+]
+
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+dependencies = [
+ "proc-macro2",
+]
+
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+checksum = "34af8d1a0e25924bc5b7c43c079c942339d8f0a8b57c39049bef581b46327404"
+dependencies = [
+ "libc",
+ "rand_chacha",
+ "rand_core",
+]
+
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+ "ppv-lite86",
+ "rand_core",
+]
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+dependencies = [
+ "getrandom",
+]
+
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+
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+ "serde_derive",
+]
+
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+ "proc-macro2",
+ "quote",
+ "syn",
+]
+
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+dependencies = [
+ "itoa",
+ "ryu",
+ "serde",
+]
+
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+dependencies = [
+ "proc-macro2",
+ "quote",
+ "unicode-ident",
+]
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src/main.rs

@@ -1,11 +1,41 @@
-use activations::RELU;
+use activations::{RELU, SIGMOID};
 use network::Network;
 
+use crate::activations::TANH;
+
 pub mod activations;
 pub mod matrix;
 pub mod network;
 pub mod simula;
 
 fn main(){
+    let inputs = vec![
+        vec![0.0,0.0],
+        vec![0.0,1.0],
+        vec![1.0,0.0],
+        vec![1.0,1.0],
+    ];
+
+    let targets = vec![
+        vec![0.0],
+        vec![1.0],
+        vec![1.0],
+        vec![0.0],
+    ];
+    let mut network = Network::new(vec![2, 3, 1], 1.0, SIGMOID);
+
+    println!("0 and 0: {:?}", network.feed_forward(vec![0.0,0.0]));
+    println!("0 and 1: {:?}", network.feed_forward(vec![0.0,1.0]));
+    println!("1 and 0: {:?}", network.feed_forward(vec![1.0,0.0]));
+    println!("1 and 1: {:?}", network.feed_forward(vec![1.0,1.0]));
 
+    network.train(inputs, targets, 2000);
+
+    println!("0 and 0: {:?}", network.feed_forward(vec![0.0,0.0]));
+    println!("0 and 1: {:?}", network.feed_forward(vec![0.0,1.0]));
+    println!("1 and 0: {:?}", network.feed_forward(vec![1.0,0.0]));
+    println!("1 and 1: {:?}", network.feed_forward(vec![1.0,1.0]));
+
+    network.save("weights".to_string());
 }
+

weights

@@ -0,0 +1 @@
+{"biases":[[[4.870327559407807],[11.09981638356452],[4.932220449034749]],[[0.6068613357408664]]],"weights":[[[-10.7985994744612,-8.58312276005114],[-6.217673474019029,-9.227257028840848],[8.292012545230659,-7.263893689697394]],[[-7.201486053815492,7.103973514898267,-4.297072672690916]]]}

weights.json

@@ -0,0 +1 @@
+{"biases":[[[-5.172410992146818],[-3.033170251903816],[-5.13635551903822]],[[-4.8932802389322685]]],"weights":[[[10.601569078393347,-11.927061926900015],[7.5854982860260005,7.620486663515182],[-11.866987494709251,10.533269979541583]],[[8.131552743311454,1.0232057828085046,8.133322552007222]]]}