MNIST/guess.html at main · hyperandroid/MNIST · GitHub

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<html lang="en">
<head>
    <meta charset="utf-8"/>
    <meta name="viewport" content="width=device-width,initial-scale=1"/>
    <title>MNIST Interactive Demo</title>
    <style>
        * {
            box-sizing: border-box;
        }

        body {
            font-family: system-ui, -apple-system, sans-serif;
            padding: 24px;
            background: #f5f6f8;
            color: #2d3748;
            line-height: 1.6;
        }

        h1 {
            color: #1a202c;
            font-weight: 600;
            margin-bottom: 24px;
        }

        h3 {
            color: #2d3748;
            font-weight: 600;
            margin: 0 0 12px 0;
        }

        p {
            color: #4a5568;
            margin: 8px 0;
        }

        .section {
            background: #ffffff;
            border: 1px solid #e2e8f0;
            border-radius: 8px;
            padding: 24px;
            margin-bottom: 24px;
            box-shadow: 0 1px 3px rgba(0, 0, 0, 0.05);
        }

        .section h3 {
            border-bottom: 2px solid #e2e8f0;
            padding-bottom: 12px;
            margin-bottom: 16px;
        }

        #summary {
            background: #edf2f7;
            border-left: 4px solid #4a5568;
        }

        #row-container {
            background: #fff;
        }

        #row {
            display: flex;
            align-items: center;
            gap: 30px;
            padding: 16px 0;
        }

        #layers-container {
            background: #fafbfc;
            width: fit-content;
            min-width: 100%;
        }

        #layers-container .description {
            color: #718096;
            font-size: 0.9em;
        }

        #parameters-container {
            background: #fff;
            width: fit-content;
            min-width: 100%;
        }

        .probability {
            display: flex;
            flex-direction: row;
            align-items: center;
            gap: 12px;
            padding: 4px 0;
        }

        .probability input[type="range"] {
            accent-color: #4a5568;
        }

        .layers {
            display: flex;
            flex-direction: column;
            align-items: center;
        }

        .parameter-image {
            display: flex;
            flex-direction: column;
            align-items: flex-start;
        }

        button {
            background: #4a5568;
            color: #fff;
            border: none;
            padding: 8px 16px;
            border-radius: 4px;
            cursor: pointer;
            font-size: 14px;
        }

        button:hover {
            background: #2d3748;
        }

        canvas {
            border-radius: 4px;
        }

        /* Mobile responsive styles */
        @media (max-width: 600px) {
            body {
                padding: 12px;
            }

            h1 {
                font-size: 1.5rem;
                margin-bottom: 16px;
            }

            h3 {
                font-size: 1.1rem;
            }

            .section {
                padding: 16px;
                margin-bottom: 16px;
            }

            #summary p {
                font-size: 0.9em;
            }

            #row {
                flex-direction: column;
                align-items: flex-start;
                gap: 20px;
            }

            .probability {
                gap: 8px;
            }

            .probability input[type="range"] {
                width: 120px;
            }

            #layers-container,
            #parameters-container {
                overflow-x: auto;
                -webkit-overflow-scrolling: touch;
            }

            #layers-container .description p,
            #parameters-container .description {
                font-size: 0.85em;
            }

            button {
                padding: 10px 20px;
            }
        }

        @media (max-width: 400px) {
            .probability input[type="range"] {
                width: 80px;
            }
        }
    </style>
</head>
<body>
<h1>MNIST Interactive Demo</h1>

<div id="summary" class="section">
    <h3>About This Model</h3>
    <p>This model has been trained on the MNIST dataset with an accuracy of roughly 97.5% (250 prediction errors out of 10,000 test images).</p>
    <p>Architecture: Multi-layer perceptron [ Dense [784 → 128], ReLU, Dense [128 → 10] ]</p>
    <p>Weight initialization: He uniform distribution. Optimizer: Stochastic Gradient Descent (no momentum).</p>
    <p>Trained entirely in-browser using WebGPU compute shaders.</p>
    <p class="description">Note: Your handwriting may differ from the MNIST training data, which could affect recognition accuracy.</p>
</div>

<div id="row-container" class="section">
    <h3>Draw a Digit</h3>
    <div id="row"></div>
</div>

<div id="layers-container" class="section">
    <h3>Layer Activations</h3>
    <div class="description">
        <p>Visualizes data flowing through each layer as you draw. All layers are fully connected (784 → 128 → 128 → 10 neurons).</p>
    </div>
    <div id="layers"></div>
</div>

<div id="parameters-container" class="section">
    <h3>Learned Parameters</h3>
    <p class="description">Weight and bias matrices from the pre-trained model, normalized to 0–1 range for visualization.</p>
</div>

<script type="module" src="/src/MNIST/interactive/guess.ts"></script>
</body>
</html>