Pytorch 中文

2022年最新版Pytoch教程，不仅仅局限于框架的基础知识，更注重于进阶知识与项目实战，希望可以帮助大家深入地理解Pytorch框架，以及提高深度学习项目的读代码、写代码能力。课后作业都是Up主精心设计的，在学习阶段一定要独立地完成，不要依赖互联网搜索引擎。

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GPT2非常优秀的生成模型,今天分享了数据处理的过程

介绍如何在WIn11中安装深度学习用到的GPU驱动并配置深度学习环境，选择显卡版本下载驱动安装包，安装和配置GPU版的PyTorch深度学习环境

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今天展示的是基于中文的GPT2训练环节

课程配套代码及人工智能自学资源包已经打包准备好了！ ➤需要的小伙伴评论区三连后见图无偿自取，祝大家都学有所成！

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pytorch安装地址：https://pytorch.org/get-started/locally/ triton安装地址：https://github.com/woct0rdho/triton-windows/releases/tag/v3.5.0-windows.post21 comfyui前端更新地址：https://github.com/Comfy-Org/ComfyUI_frontend

微软学生开发者峰会|人工智能模型部署王牌 CP:PyTorch+ONNX ONNX和ONNX Runtime 是微软参与开源构建的人工智能模型终端部署框架,B站UP主“同济子豪兄”将在本次分享中展示人工智能开发全流程:数据集标注、训练、评估、测试、可解释性分析、部署。使用 ONNX 和 ONNX Runtime 将 Pytorch 训练出的模型部署在本地 PC、浏览器、开发板、服务器、智能手机等终端。打通人工智能模型落地应用的“最后一公里”。 知识点结构: 00:00:00 - 00:01:45 开场介绍 00:01:45 - 00:38:11 人工智能模型部署全流程Pytorch+ONNX 张子豪 B站知名科技区 UP 主“同济子豪兄”,微软人工智能方向最有价值专家 MVP “同济子豪兄”,https://space.bilibili.com/1900783,持续发布了一系列机器学习、深度学习、计算机视觉、数据挖掘、嵌入式智能硬件、微软MS Learn相关的视频教程,已有16万+粉丝,600万+播放量。在开源社区、Student Ambassadors 社区、微软学生俱乐部中有广泛知名度和影响力,帮助了许多本硕博学生和 AI 小白,入门玩转人工智能和数据科学。 代表作:精读 AI 经典论文、编程奇妙夜、斯坦福 CS231N 中文精讲。 Microsoft Student Developer Summit | The Trump Couple of AI Model Deployment: PyTorch+ONNX ONNX and ONNX Runtime are AI model terminal deployment frameworks that Microsoft participated in open-source construction. The uploader AI with buddy Zihao at Bilibili will show the whole process of AI development in this sharing: dataset annotation, training, evaluation, testing, interpretability analysis and deployment. Use ONNX and ONNX Runtime to deploy the models trained by Python on local PCs, browsers, development boards, servers, smartphones and other terminals. Get through the last mile of the application of artificial intelligence models. ZiHao Zhang His video channel AI with buddy Zihao, https://space.bilibili.com/190078, has published a series of video tutorials about machine learning, deep learning, computer vision, data mining, embedded hardware, as well as MS Learn tutorials. His video channel has more than 160,000 subscribers as well as more than 6000,000 view counts. He has gained a great reputation and influence in the open source community, Student Ambassador community, as well as Microsoft student club community. His video tutorials have helped a lot of school students, especially freshmen who are new to AI and data science. Representative work: Read AI paper from zero to hero. Make your fun computer vision demos in 3 hours. Stanford CS231N computer vision lectures in Chinese.