Explore the innovative nnFormer model in this AI Reading Group session from Cohort 20. Delve into the architecture, envelope, and mass data aspects of this alternative to traditional Transformers. Examine visual representations, experimental results, and draw conclusions about its potential impact on AI development. Gain insights into how nnFormer builds upon previous work and potentially reshapes the landscape of machine learning models.
Overview
Syllabus
Introduction
Previous work
Model Architecture
Envelope
Mass
Data
Results
Visual Representation
Experiments
Conclusion
Taught by
Launchpad
