Master the art of building and optimizing cutting-edge multimodal AI systems that understand both language and vision. This course empowers you to create transformer-based models that seamlessly integrate text and image processing while leveraging transfer learning to dramatically accelerate development. You'll learn to design sophisticated architectures using PyTorch and TensorFlow, implement fusion mechanisms for cross-modal understanding, and apply advanced fine-tuning strategies that achieve peak performance on custom datasets. By mastering these techniques, you'll transform months of traditional model development into efficient workflows that deliver production-ready multimodal AI solutions. This course uniquely combines hands-on implementation with optimization strategies, preparing you to lead next-generation AI projects.

Fine-tune Multimodal Models with Transfer Learning
本课程是 Vision & Audio AI Systems 专项课程 的一部分

位教师:Hurix Digital
包含在 中
您将学到什么
Multimodal architecture needs encoder-fusion-decoder pipelines balancing computational efficiency with cross-modal understanding capabilities.
Transfer learning transforms AI by enabling rapid adaptation of pre-trained knowledge to new domains with minimal data and training requirements.
Fine-tuning balances knowledge preservation and task adaptation through careful hyperparameter selection and strategic layer freezing techniques.
Production multimodal systems require systematic optimization approaches considering both model performance and computational resource constraints.
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要了解的详细信息
了解顶级公司的员工如何掌握热门技能

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- 获得可共享的职业证书

该课程共有2个模块
Learners will understand the fundamental principles of modular data pipeline design and implement basic ingestion and cleansing components using open source tools.
涵盖的内容
3个视频1篇阅读材料1个作业1个非评分实验室
Learners will implement complete modular pipeline components with transformation and loading stages, then demonstrate mastery through comprehensive assessment.
涵盖的内容
1个视频1篇阅读材料3个作业
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将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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状态:免费试用
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。





