Adrian Gabriel commited on
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add iniitial ideas

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  1. README.md +11 -1
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@@ -28,7 +28,6 @@ uv run uvicorn app:app --host 0.0.0.0 --port 8000
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  Open http://localhost:8000 in your browser.
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  ## ✨ Features
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  ## 📚 Core API Reference
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  Please look at the great work done by [TinyTorch](https://mlsysbook.ai/tinytorch/intro.html) for a complete API reference. Below are the currently enabled features for visualization.
 
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  Open http://localhost:8000 in your browser.
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  ---
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  ## ✨ Features
 
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+ ## 💡 Ideas to get started
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+ - **Visualize Basic Operations:** Start simple by creating two tensors and visualizing their addition or matrix multiplication. This helps you understand how `box()` commands group operations in the UI.
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+ - **Recreate a Textbook Example:** Take a small neural network diagram from a textbook or paper and implement it layer-by-layer to see if the data flow matches your expectation.
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+ - **Debug a "Shape Mismatch":** Intentionally create a dimension error (like multiplying `(4,8)` by `(4,16)`) to see how the visualizer handles it versus standard Python error messages.
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+ - **Annotate Your Math:** Use the LaTeX note feature to write down the formula $y = \sigma(Wx + b)$ next to your Linear layer visualization to connect the code to the math.
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  ## 📚 Core API Reference
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  Please look at the great work done by [TinyTorch](https://mlsysbook.ai/tinytorch/intro.html) for a complete API reference. Below are the currently enabled features for visualization.