🎯 Optimizer Visualizer

A dynamic 3D tool to explore how optimization algorithms traverse a loss surface in real time.

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🌐 Live Demo

👉 Try it here

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🎥 Demo Previews

3D Loss Surface	Different optimizers	Custom surface

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✨ Features

• 🧠 Explore optimizers: SGD, Momentum, Adagrad, RMSProp, Adam
• 📈 Real-time 3D visualizations using Plotly
• ✍️ Input custom loss surfaces using different functions
• 🎚️ Adjust hyperparameters: learning rate, momentum, decay, beta values
• ⏯️ Play, pause, reset animations and reinitialize points

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🚀 How to Use

1. Enter a loss function or select a default surface, e.g.:
   pow(w*w + b - 6, 2) + pow(w + b*b - 5, 2)
2. Choose an optimizer and adjust its parameters
3. Click or tap on the plot to place a starting marker
4. Press Start to begin optimization
5. Pause or reset to test different configurations

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🙌 Acknowledgements

This project was built to help learners visually grasp the behavior of optimization algorithms used in deep learning and machine learning.