Pytorch 介绍

感谢小伙伴们的收看，配套资料源码笔记。已全部整理。 P2为人工智能入门学习路线图+论文指导。平论区可拎

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今天看了一天论文和代码,视频的前面模型简单过一下的那里,我用一个实例维度进行举例,讲的有点着急,patch的大小忘记涵盖channel了,抱歉,大家见谅! 我后面视频会纠正,切记patch本身是patchh*patchw*c,今天确实讲的时候糊涂一时,希望大家能看完视频讲解,前面那里不要混淆。

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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.

本视频可作为入门人工智能的第一个视频，深入浅出但又不失深度，可以为你今后的学习和探索建立一个良好的开端~

PyTorch是一个功能强大且灵活易用的深度学习框架，广泛应用于多个领域。它提供了动态计算图、强大的GPU加速、自动微分系统以及丰富的生态系统等核心特性，使得用户能够高效地构建和训练深度学习模型。