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Fine-tune Multimodal Models with Transfer Learning

本课程是多个项目的一部分。

位教师：Hurix Digital

包含在中

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2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

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

可分享的证书

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

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在注册此课程时，您还需要选择一个特定的合作项目。

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该课程共有2个模块

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.

单元详情

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

3个视频总计12分钟

Why Modular Data Pipelines Matter in Enterprise Environments2分钟
Open Source Tools for Pipeline Development: Spark, dbt, and Airflow6分钟
Fine-tuning Multimodal Transformers3分钟

1篇阅读材料总计12分钟

Fundamentals of Modular Data Pipeline Architecture12分钟

1个作业总计3分钟

Modular Pipeline Foundations Knowledge Check3分钟

1个非评分实验室总计20分钟

Building Your First Modular Pipeline Component20分钟

Learners will implement complete modular pipeline components with transformation and loading stages, then demonstrate mastery through comprehensive assessment.