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Overview
Transfer learning is one of the core concepts leveraged for building Generative AI applications. This course teaches the essentials of transfer learning as well as advanced strategies such as fine-tuning and feature extraction. Transfer learning is the basis of transformer architecture and it is also one of the concepts on which generative AI large language models are based. It is a technique to leverage base models on domain-specific applications for prediction and outcomes. In this course, Transfer Learning: Tailoring Neural...
Syllabus
- Course Overview 1min
- Understanding Transfer Learning 13mins
- Implementation and Challenges of Transfer Learning 14mins
Instructor
Ranjan Relan
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