<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[cui_123456的博客]]></title><description><![CDATA[]]></description><link>https://blog.csdn.net/cui_123456</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; cui_123456]]></copyright><item><title><![CDATA[基于 Qwen2.5-VL-7B 与 LoRA 的自定义目标检测微调项目开源]]></title><link>https://blog.csdn.net/cui_123456/article/details/164204585</link><guid>https://blog.csdn.net/cui_123456/article/details/164204585</guid><author>cui_123456</author><pubDate>Mon, 31 Aug 2026 09:15:33 +0800</pubDate><description><![CDATA[本文介绍一个基于 Qwen2.5-VL-7B-Instruct 和 LoRA 的自定义目标检测开源项目。项目支持自定义类别、conversations 格式数据集、断点续训、最佳 checkpoint 选择、IoU 评估、检测结果可视化以及单图推理，并提供 Windows、Linux 和 Google Colab 使用说明。]]></description><category></category></item><item><title><![CDATA[英文符号总结（数学）]]></title><link>https://blog.csdn.net/cui_123456/article/details/134673968</link><guid>https://blog.csdn.net/cui_123456/article/details/134673968</guid><author>cui_123456</author><pubDate>Tue, 28 Nov 2023 18:30:06 +0800</pubDate><description><![CDATA[和 ] - Brackets (美国英语) / Square Brackets (英国英语)( 和 ) - Parentheses (美国英语) / Brackets (英国英语)# - Hash, Pound Sign (美国英语), or Number Sign。× 或 * - Times Sign or Multiplication Sign。. - Period (美国英语) / Full Stop (英国英语)⊂ 和 ⊃ - Subset of and Superset of。]]></description><category></category></item><item><title><![CDATA[神经网络解析：构成与功能的深入探究Neural Networks Unraveled: A Comprehensive Exploration of Components and Functions]]></title><link>https://blog.csdn.net/cui_123456/article/details/134607492</link><guid>https://blog.csdn.net/cui_123456/article/details/134607492</guid><author>cui_123456</author><pubDate>Sat, 25 Nov 2023 06:07:47 +0800</pubDate><description><![CDATA[神经网络是模仿人脑工作方式的算法结构，它们能从数据中学习和识别模式。神经网络是人工智能和机器学习领域的关键技术。通过深入理解其组成和工作原理，我们能更好地利用这一强大工具。]]></description><category></category></item><item><title><![CDATA[卷积与神经网络 Convolution and Neural Networks]]></title><link>https://blog.csdn.net/cui_123456/article/details/134606863</link><guid>https://blog.csdn.net/cui_123456/article/details/134606863</guid><author>cui_123456</author><pubDate>Fri, 24 Nov 2023 21:32:15 +0800</pubDate><description><![CDATA[卷积是一种数学操作，它结合两个函数产生第三个函数。它在图像处理和信号处理中非常重要。神经网络是由层层叠叠的神经元构成，每个神经元可以处理和传递信息。]]></description><category></category></item></channel></rss>