Beginners Guide for FNO #418
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| x = torch.fft.irfft2(out_ft, s=(x.size(-2), x.size(-1))) | ||
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| b) MLP Layer |
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We need to make sure we're clear that the MLP is only applied to channels, see neuralop.layers.channel_mlp
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Good point! Let me make an edit.
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| This structure allows FNOs to efficiently learn mappings between function spaces, making them particularly effective for solving PDEs and other complex mathematical problems. Now finally let's see how to train an FNO model. | ||
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| 3. Set Up the FNO Model |
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Not sure we need another full training guide within the docs here
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Its more of just a simplified version and how to train it.
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| # Evaluation code here (omitted for brevity) | ||
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| 7. Visualize Results |
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Might be better to direct people to the gallery of examples with plots
doc/source/user_guide/index.rst
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This guide is great, thanks @Robertboy18! There are a few small grammar/punctuation nitpicks with the PPT slides and I think the guide belongs somewhere more prominent on the website. Otherwise great.
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Thanks! Yeah of course
A compressive beginner's guide to Fourier Neural Operators (FNOs). The guide aims to help newcomers understand FNOs and get started implementing them using our library.
Key additions:
This is just an initial draft, let me know what you think!