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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<!-- Primary SEO -->
<title>Gradient Lab — Interactive Gradient Descent & Optimizer Visualizer</title>
<meta
name="description"
content="A free, interactive playground for gradient descent: explore loss landscapes in 1D, 2D and 3D, compare optimizers like Adam, RMSProp, Momentum and Nesterov, race them, map basins of attraction, and learn by doing."
/>
<meta
name="keywords"
content="gradient descent, optimization, machine learning, deep learning, Adam, RMSProp, Momentum, Nesterov, AdaGrad, loss landscape, neural network, visualization, interactive, education, SGD"
/>
<meta name="author" content="Neo Mohsenvand" />
<meta name="robots" content="index, follow" />
<meta name="theme-color" content="#0a1218" />
<meta name="application-name" content="Gradient Lab" />
<link rel="canonical" href="https://gradientlab.ai/" />
<link rel="sitemap" type="application/xml" title="Sitemap" href="/sitemap.xml" />
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<meta property="og:type" content="website" />
<meta property="og:site_name" content="Gradient Lab" />
<meta property="og:title" content="Gradient Lab — see how machines learn" />
<meta
property="og:description"
content="An interactive playground for gradient-based optimization: loss landscapes in 1D/2D/3D, fourteen optimizers, races, basins of attraction, and a built-in course."
/>
<meta property="og:url" content="https://gradientlab.ai/" />
<meta property="og:image" content="https://gradientlab.ai/og-image.png?v=2" />
<meta property="og:image:width" content="1200" />
<meta property="og:image:height" content="630" />
<meta property="og:image:alt" content="Gradient Lab — a loss landscape with a descent path converging to the minimum" />
<meta property="og:locale" content="en_US" />
<!-- Twitter / X -->
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:title" content="Gradient Lab — see how machines learn" />
<meta
name="twitter:description"
content="An interactive playground for gradient-based optimization: loss landscapes in 1D/2D/3D, fourteen optimizers, races, basins of attraction, and a built-in course."
/>
<meta name="twitter:image" content="https://gradientlab.ai/og-image.png?v=2" />
<meta name="twitter:image:alt" content="Gradient Lab — a loss landscape with a descent path converging to the minimum" />
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"description": "An interactive playground for understanding gradient descent and optimization, with loss landscapes in 1D, 2D and 3D, fourteen optimizers, race mode, basins of attraction, and a built-in course.",
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and Cloudflare preview deployments never pollute the stats. -->
<script>
(function () {
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</head>
<body>
<div id="app"></div>
<noscript>
<section style="max-width: 42rem; margin: 4rem auto; padding: 0 1.5rem; font-family: system-ui, -apple-system, Segoe UI, Roboto, sans-serif; color: #e2e8f0; background: #0a1218; line-height: 1.6;">
<h1>Gradient Lab — see how machines learn</h1>
<p>
Gradient Lab is a free, interactive playground for understanding
<strong>gradient descent</strong> and optimization. Watch the loss
landscape in 1D, 2D and 3D; compare optimizers — Gradient Descent,
Momentum, Nesterov, AdaGrad, RMSProp and Adam — from the same start;
race them; map the basins of attraction; and work through a built-in
course from "which way is down?" to a real tiny neural network.
</p>
<p>This application is interactive and requires JavaScript. Please enable JavaScript to use it.</p>
</section>
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