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neural-network-playground
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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Neural Network Playground</title>
    <link rel="stylesheet" href="css/styles.css">
    <link rel="preconnect" href="https://fonts.googleapis.com">
    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.8.5/d3.min.js"></script>
</head>
<body>
    <header>
        <h1>Neural Network Playground</h1>
        <p class="header-subtitle">Interactive visualization of neural network architectures and concepts</p>
    </header>
    
    <main>
        <div class="container">
            <div class="tools-panel">
                <h2>Network Components</h2>
                
                <p class="hint-text">Drag components to the canvas to build your neural network</p>
                
                <div class="node-types">
                    <div class="node-item" draggable="true" data-type="input">
                        <div class="node input-node">Input Layer</div>
                    </div>
                    <div class="node-item" draggable="true" data-type="hidden">
                        <div class="node hidden-node">Hidden Layer</div>
                    </div>
                    <div class="node-item" draggable="true" data-type="output">
                        <div class="node output-node">Output Layer</div>
                    </div>
                    <div class="node-item" draggable="true" data-type="conv">
                        <div class="node conv-node">Convolutional</div>
                    </div>
                    <div class="node-item" draggable="true" data-type="pool">
                        <div class="node pool-node">Pooling</div>
                    </div>
                    <div class="node-item" draggable="true" data-type="linear">
                        <div class="node linear-node">Linear Regression</div>
                    </div>
                </div>
                
                <h3 class="section-title">Sample Data</h3>
                <div class="sample-data">
                    <div class="sample-item" data-sample="1">5</div>
                    <div class="sample-item" data-sample="2">7</div>
                    <div class="sample-item" data-sample="3">3</div>
                </div>
                
                <div class="controls">
                    <button id="run-network">Run Network</button>
                    <button id="clear-canvas">Clear Canvas</button>
                </div>
                
                <h3 class="section-title">Network Settings</h3>
                <div class="network-settings">
                    <div class="setting-group">
                        <label for="learning-rate">Learning Rate:</label>
                        <input type="range" id="learning-rate" min="0.001" max="1" step="0.001" value="0.1">
                        <span class="setting-value" id="learning-rate-value">0.1</span>
                    </div>
                    <div class="setting-group">
                        <label for="activation">Activation:</label>
                        <select id="activation">
                            <option value="relu">ReLU</option>
                            <option value="sigmoid">Sigmoid</option>
                            <option value="tanh">Tanh</option>
                        </select>
                    </div>
                </div>
            </div>
            
            <div class="canvas-container">
                <div id="network-canvas" class="network-canvas">
                    <div class="canvas-hint">
                        <strong>Build Your Neural Network</strong>
                        Drag components from the left panel and drop them here.
                        <br>Connect them by dragging from output (right) to input (left) ports.
                    </div>
                </div>
            </div>
            
            <div class="properties-panel">
                <h2>Layer Properties</h2>
                <div id="node-properties">
                    <p>Hover over a node to see its properties</p>
                </div>
                
                <h3 class="section-title">Activation Function</h3>
                <div class="activation-graph">
                    <svg class="activation-curve" viewBox="0 0 100 100" preserveAspectRatio="none">
                        <!-- Will be populated by JavaScript -->
                    </svg>
                </div>
                
                <h3 class="section-title">Layer Weights</h3>
                <div id="weight-visualization"></div>
                
                <h3 class="section-title">Training Progress</h3>
                <div class="training-progress">
                    <div class="progress-bar-container">
                        <div class="progress-bar" style="width: 0%"></div>
                    </div>
                    <div class="metrics">
                        <div class="metric">
                            <span class="metric-label">Loss:</span>
                            <span class="metric-value" id="loss-value">-</span>
                        </div>
                        <div class="metric">
                            <span class="metric-label">Accuracy:</span>
                            <span class="metric-value" id="accuracy-value">-</span>
                        </div>
                    </div>
                </div>
            </div>
        </div>
    </main>
    
    <div class="tooltip" id="node-tooltip">
        <div class="tooltip-content"></div>
    </div>
    
    <footer>
        <p>Neural Network Playground - Learn and visualize neural networks interactively</p>
        <div class="footer-links">
            <a href="#" id="about-link">About</a>
            <a href="#" id="guide-link">User Guide</a>
            <a href="https://github.com/yourusername/neural-network-playground" target="_blank">GitHub</a>
        </div>
    </footer>
    
    <div class="modal" id="about-modal">
        <div class="modal-content">
            <div class="modal-header">
                <h3>About Neural Network Playground</h3>
                <button class="close-modal">&times;</button>
            </div>
            <div class="modal-body">
                <p>This playground allows you to experiment with neural networks visually. Build networks by dragging and dropping layer components, connecting them, and running simulations.</p>
                <p>Learn about different layer types, activation functions, and see how data flows through the network.</p>
                <h4>Key Concepts:</h4>
                <ul>
                    <li><strong>Input Layer:</strong> Receives raw data (like images) and passes it to the network</li>
                    <li><strong>Hidden Layers:</strong> Extract and process features from the data</li>
                    <li><strong>Output Layer:</strong> Provides the final prediction or classification</li>
                    <li><strong>Convolutional Layer:</strong> Specialized for image processing, detects spatial patterns</li>
                    <li><strong>Pooling Layer:</strong> Reduces dimensions while preserving important features</li>
                </ul>
            </div>
        </div>
    </div>
    
    <!-- Layer Editor Modal -->
    <div id="layer-editor-modal" class="modal layer-editor-modal">
        <div class="modal-content">
            <span class="close-modal">&times;</span>
            <h2 class="modal-title">Edit Layer</h2>
            <form class="layer-form">
                <!-- Form fields will be dynamically generated based on layer type -->
            </form>
        </div>
    </div>
    <!-- End Layer Editor Modal -->
    
    <script src="js/main.js"></script>
    <script src="js/neural-network.js"></script>
    <script src="js/drag-drop.js"></script>
</body>
</html>