- 对机器学习概念的基本理解
- 熟悉 Python 程式设计
- 使用库进行数据处理的基本知识，如 Pandas
观众
- 数据科学家
- 人工智慧爱好者
预训练模型是现代 AI 的基石，提供可适应各种应用的预构建功能。本课程向参与者介绍预训练模型的基础知识、架构和实际用例。参与者将学习如何利用这些模型完成文本分类、图像识别等任务。
这种由讲师指导的现场培训（在线或现场）面向初级专业人员，他们希望了解预训练模型的概念，并学习如何应用它们来解决实际问题，而无需从头开始构建模型。
在本次培训结束时，参与者将能够：
- 了解预训练模型的概念和优势。
- 探索各种预先训练的模型架构及其使用案例。
- 针对特定任务微调预先训练的模型。
- 在简单的机器学习项目中实施预训练模型。
课程形式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在即时实验室环境中动手实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们进行安排。
Introduction to Pre-trained Models
- 什么是预训练模型？
- 使用预训练模型的好处
- 流行的预训练模型（例如 BERT、ResNet）概述
了解预训练模型架构
- 模型架构基础知识
- 迁移学习和微调概念
- 如何构建和训练预训练模型
设置环境
- 安装和配置 Python 和相关库
- 探索预先训练的模型存储库（例如 Hugging Face）
- 载入和测试预训练模型
动手操作预训练模型
- 使用预先训练的模型进行文本分类
- 将预训练模型应用于图像识别任务
- 为自订数据集微调预训练模型
部署预训练模型
- 汇出和保存微调模型
- 将模型整合到应用程式中
- 在生产环境中部署模型的基础知识
挑战和最佳实践
- 了解模型限制
- 在微调过程中避免过拟合
- 确保合乎道德地使用 AI 模型
预训练模型的未来趋势
- 新兴架构及其应用
- 迁移学习的进步
- 探索大型语言模型和多模态模型
总结和后续步骤
United Arab Emirates - Introduction to Pre-trained Models
Qatar - Introduction to Pre-trained Models
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Saudi Arabia - Introduction to Pre-trained Models
South Africa - Introduction to Pre-trained Models
Brasil - Introduction to Pre-trained Models
Canada - Introduction to Pre-trained Models
中国 - Introduction to Pre-trained Models
香港 - Introduction to Pre-trained Models
澳門 - Introduction to Pre-trained Models
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USA - Introduction to Pre-trained Models
Österreich - Introduction to Pre-trained Models
Schweiz - Introduction to Pre-trained Models
Deutschland - Introduction to Pre-trained Models
Czech Republic - Introduction to Pre-trained Models
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Latvia - Introduction to Pre-trained Models
España - Introduction to Pre-trained Models
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Lithuania - Introduction to Pre-trained Models
Nederland - Introduction to Pre-trained Models
Norway - Introduction to Pre-trained Models
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Türkiye - Introduction to Pre-trained Models
Malta - Introduction to Pre-trained Models
Belgique - Introduction to Pre-trained Models
France - Introduction to Pre-trained Models
日本 - Introduction to Pre-trained Models
Australia - Introduction to Pre-trained Models
Malaysia - Introduction to Pre-trained Models
New Zealand - Introduction to Pre-trained Models
Philippines - Introduction to Pre-trained Models
Singapore - Introduction to Pre-trained Models
Thailand - Introduction to Pre-trained Models
Vietnam - Introduction to Pre-trained Models
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Argentina - Introduction to Pre-trained Models
Chile - Introduction to Pre-trained Models
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Guatemala - Introduction to Pre-trained Models
Colombia - Introduction to Pre-trained Models
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Polska - Introduction to Pre-trained Models
United Kingdom - Introduction to Pre-trained Models
South Korea - Introduction to Pre-trained Models
Pakistan - Introduction to Pre-trained Models
Sri Lanka - Introduction to Pre-trained Models
Bulgaria - Introduction to Pre-trained Models
Bolivia - Introduction to Pre-trained Models
Indonesia - Introduction to Pre-trained Models
Kazakhstan - Introduction to Pre-trained Models
Moldova - Introduction to Pre-trained Models
Morocco - Introduction to Pre-trained Models
Tunisia - Introduction to Pre-trained Models
Kuwait - Introduction to Pre-trained Models
Oman - Introduction to Pre-trained Models
Slovakia - Introduction to Pre-trained Models
Kenya - Introduction to Pre-trained Models
Nigeria - Introduction to Pre-trained Models
Botswana - Introduction to Pre-trained Models
Slovenia - Introduction to Pre-trained Models
Croatia - Introduction to Pre-trained Models
Serbia - Introduction to Pre-trained Models
Bhutan - Introduction to Pre-trained Models