<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural Networks on SoloSoft</title><link>https://www.solosoft.dev/tags/neural-networks/</link><description>Recent content in Neural Networks on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/neural-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>Netron: Open-Source Model Viewer for Neural Networks</title><link>https://www.solosoft.dev/post/netron-model-viewer-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/netron-model-viewer-2026/</guid><description>&lt;p&gt;Visualizing the architecture of neural networks is essential for understanding, debugging, and communicating model designs, yet most deep learning frameworks provide limited visualization capabilities. &lt;strong&gt;Netron&lt;/strong&gt; (lutzroeder/netron on GitHub) solves this problem by providing a comprehensive, format-agnostic model viewer that can visualize neural networks from virtually any framework with interactive graph exploration.&lt;/p&gt;
&lt;p&gt;Created by Lutz Roeder, Netron has become an indispensable tool in the AI ecosystem, with over 30,000 GitHub stars and adoption by researchers, engineers, and educators worldwide. The viewer supports over 20 model formats including ONNX, TensorFlow, PyTorch, Keras, CoreML, TensorFlow Lite, MXNet, Caffe, Darknet, PaddlePaddle, OpenVINO, and scikit-learn, making it the Swiss Army knife of model visualization.&lt;/p&gt;</description></item></channel></rss>