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OpenTrainDNN: An interactive, zero-dependency browser tool for visualizing backpropagation in neural networks. [P]
Hi r/MachineLearning, I built OpenTrainDNN, a browser-based tool designed to visually show how backpropagation and neural network training actually work step-by-step. Why I built it While there are th
Hi r/MachineLearning, I built OpenTrainDNN, a browser-based tool designed to visually show how backpropagation and neural network training actually work step-by-step. Why I built it While there are theoretical guides on backpropagation, it can be hard to build an intuitive mental model without seeing weight updates, activations, and gradients evolve visually in real-time. I wanted a zero-setup, lightweight tool to experiment with these mechanics instantly. Key Features Zero Dependencies / No Installation: Runs completely in the browser via GitHub Pages. Real-time Backpropagation: Visualizes forward passes, loss calculation, gradient computation, and weight updates interactively. Interactive Parameters: Adjust learning rates, inputs, and network structure to observe convergence or divergence live. I would love to get your feedback on the layout, visualization accuracy, or features you'd like to see added to make it more useful for learners and educators! submitted by /u/NeedleworkerKey3487 [link] [comments]
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Source: r/MachineLearning | 2026-09-19