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# TorchLean: Formalizing Neural Networks in Lean

**[Hacker News](https://daily.dev/sources/hn)** · 1 min read · 1 upvotes · 0 comments

## Summary

TorchLean is a framework built on the Lean 4 theorem prover that formalizes neural networks as first-class mathematical objects, closing the semantic gap between model execution and verification. It provides a PyTorch-style verified API with eager and compiled modes, explicit IEEE-754 Float32 semantics, and verification via IBP and CROWN/LiRPA-style bound propagation. The framework is validated on certified robustness, physics-informed neural networks (PINNs), and neural controller verification, and includes a mechanized proof of the universal approximation theorem.

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#neural-networks](https://daily.dev/tags/neural-networks), [#pytorch](https://daily.dev/tags/pytorch)

[View this post on daily.dev](https://daily.dev/posts/torchlean-formalizing-neural-networks-in-lean-hs0pj11yj)

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