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# Exploring Neural Networks Visually in the Browser

**[Casey Primozic](https://daily.dev/sources/cprimozic)** · 12 min read · 0 upvotes · 0 comments

## Summary

A developer built a browser-based sandbox for visually exploring neural networks, motivated by the gap between abstract theory and practical intuition. The tool runs entirely in the browser using Rust compiled to WebAssembly with Wasm SIMD acceleration, and lets users build, train, and visualize neural networks in real time. Key observations shared include how deeper layers develop increasingly complex neuron responses, the dying ReLU problem visualized directly, the impact of weight initialization, and the Growing Cosine Unit (GCU) activation function's ability to produce richer features with fewer neurons. Technical implementation details cover web workers for non-blocking UI, SIMD-accelerated matrix multiplication, and fast approximations for expensive activation functions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cprimozic.net/blog/neural-network-experiments-and-visualizations/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#rust](https://daily.dev/tags/rust), [#neural-networks](https://daily.dev/tags/neural-networks), [#data-visualization](https://daily.dev/tags/data-visualization), [#webassembly](https://daily.dev/tags/webassembly)

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