Neural Network 101 offers a transparent, hands-on playground to understand neural network principles. Key features include:
• Visualize every node, edge, and gradient
• Configure network layers, activations, and learning parameters
• Interact with the network by dragging weights or deleting neurons
• Observe real-time decision boundary reactions and updates
This interactive tool demystifies the inner workings of neural networks, moving beyond abstract concepts to provide a clear view of their mechanics. Users can build their own tiny networks without code, selecting layers, activation functions, weight initialization, and batch sizes. The platform allows for training at any speed, from single-sample steps to full epochs, with the ability to pause and inspect the process at any moment.
The tool enables detailed inspection of every neuron; users can hover over connections to see contributions and click neurons to view and even edit weights, biases, and gradients by hand. A live 2D map illustrates how the network dynamically divides the input space, providing instant feedback on changes. It's an invaluable resource for students, educators, and researchers seeking a deeper, more intuitive grasp of how these complex systems function and learn. This playground is perfect for anyone who wants to see the math in action.
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