中This course covers transformer models and their applications in natural language processing and computer vision. Topics include the T5 model, fine-tuning for tasks such as abstractive summarization, and the Vision Transformer. Students will learn to build an image captioning system by combining vision and language models. The course also provides practical instruction on deploying models, including MLOps practices, sharing models on HuggingFace, and cloud deployment with FastAPI. By the end of the course, students will have the knowledge and skills to implement, fine-tune, and deploy transformer models for various real-world tasks.
Introduction to Transformer Models for NLP: Unit 3
您将学到什么
Understand and apply the T5 model’s end-to-end transformer architecture for advanced NLP tasks.
Fine-tune and evaluate transformer models for complex applications like abstractive summarization.
Leverage Vision Transformers and build custom image captioning systems by combining vision and language models.
Deploy, share, and operationalize transformer models using modern MLOps tools and cloud frameworks.
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August 2025
作业
5 项作业
授课语言：英语（English）
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本课程是 Introduction to Transformer Models for NLP 专项课程 专项课程的一部分
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该课程共有1个模块
This module explores advanced transformer models and their applications across natural language processing and computer vision. Learners will examine the T5 model’s end-to-end architecture and cross-attention mechanism, apply and fine-tune T5 for complex NLP tasks, and discover how vision transformers extend these techniques to image processing and image captioning. The module concludes with practical strategies for deploying and sharing transformer models using MLOps principles, HuggingFace, and FastAPI, equipping students with both theoretical understanding and hands-on skills for state-of-the-art model development and deployment.
涵盖的内容
15个视频5个作业
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状态：免费试用
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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