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Neural-Network

This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.

I originally wrote the basic network by following 3Blue1Brown's Neural Network Video

How to Run

Work on my PC

  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte
  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file

Notes

  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)
    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it

About

Personal Project to better my understanding of neural networks by writing one from scratch

Topics

cppmnist-handwriting-recognitionneural-network

Resources

Readme
Activity

Stars

2 stars

Watchers

1 watching

Forks

0 forks
Report repository

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
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Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
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Neural-Network
This repository is a personal project I started to gain a better understanding of how simple (and complex) neural network systems work. I hope to add more to this repository in the future.
I originally wrote the basic network by following 3Blue1Brown's Neural Network Video
How to Run
Work on my PC
  1. Start by downloading the MNIST data set, move the following files into the root folder
train-images.idx3-ubyte
train-labels.idx1-ubyte
t10k-images.idx3-ubyte
t10k-labels.idx1-ubyte

  1. Then run the command make
  2. This should make a Run.exe file
  3. Running the Run.exe file will execute main in the Driver.cc file
Notes
  • On average, I see an accuracy of just above 89% (on the BasicNetwork)
  • BitNetwork is a WIP (an Idea after I saw this research paper)

    • Untested and probably not made correct (if I have even started on it, which I have not at time of writting)
  • The Matrix class is garbage (I'm not sorry; it does what I want it to)
  • The bias variable exists... but I never implemented it
About
Personal Project to better my understanding of neural networks by writing one from scratch
Topics
cppmnist-handwriting-recognitionneural-network
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages