From 5e9e138be0cfccb9da71873c909a015c472f1446 Mon Sep 17 00:00:00 2001
From: sneedgroup-holder <no@nope.nicetry>
Date: Tue, 3 Dec 2024 23:25:54 +0000
Subject: [PATCH] kuromi: add sanity checks/demo multiple thoughts

btw in last commit sam meant "demo" not "demi"
---
 sam-neurons-words.js | 65 ++++++++++++++++++++++++++++++++------------
 1 file changed, 48 insertions(+), 17 deletions(-)

diff --git a/sam-neurons-words.js b/sam-neurons-words.js
index 39c909c..eda518f 100644
--- a/sam-neurons-words.js
+++ b/sam-neurons-words.js
@@ -118,27 +118,58 @@ let targets = [
     [6]
 ];
 
-if (targets.length != inputs.length) {
-    throw new Error("You dummy, targets length should be equal to inputs length.")
-}
+
+
+// Example dataset (XOR problem)
+let strings2 = ["i'm", "fine", "myself."]
+
+let inputs2 = [
+    [0, 0, 0],
+    [1, 0, 0],
+    [1, 0, 1],
+    [1, 1, 1]
+];
+
+let nn2 = new NeuralNetwork(strings2.length, inputs2.length, 1);  // Increased hidden nodes to 4
+
+let targets2 = [
+    [0],
+    [1],
+    [2],
+    [3]
+];
+
 
 // Training the neural network
-for (let i = 0; i < 50000; i++) {  // Increased training iterations
-    let index = Math.floor(Math.random() * 4);
-    nn.train(inputs[index], targets[index]);
+function train(nn, inputs, targets) {
+    if (targets.length != inputs.length) {
+        throw new Error("You dummy, targets length should be equal to inputs length.")
+    }
+    for (let i = 0; i < 50000; i++) {  // Increased training iterations
+        let index = Math.floor(Math.random() * 4);
+        nn.train(inputs[index], targets[index]);
+    }
 }
 
-// Testing the neural network
-let feeds = inputs;
 
-
-feeds.forEach((item, index) => {
-let feededVal = Math.round(nn.feedforward(item))
-console.log([feededVal, item])
-if (Math.round(feededVal)  == 1) {
-let sum = 0;
-item.forEach(num => sum += num);
-try { console.log(strings[sum - 1]) } catch {}
+function think(nn, feeds, strings) {
+    if (strings.length != feeds[0].length) {
+        throw new Error("You dummy, strings array length should be equal to a feed input length.")
+    }
+    feeds.forEach((item, index) => {
+        let feededVal = Math.round(nn.feedforward(item))
+        console.log([feededVal, item])
+        if (Math.round(feededVal)  == 1) {
+            let sum = 0;
+            item.forEach(num => sum += num);
+            try { console.log(strings[sum - 1]) } catch {}
+        }
+    })
 }
 
-})
+train(nn, inputs, targets)
+think(nn, inputs, strings)
+
+train(nn2, inputs2, targets2)
+think(nn2, inputs2, strings2)
+