importance of transfer learning in artificial intelligence, focusing on its role in enhancing model performance by leveraging knowledge from one task to improve performance on another.
Dear Prof. Zimam Ahamed
In the context of artificial intelligence (AI), transfer learning has proven to be significant for several reasons, contributing to improved model performance in various domains. Here are key aspects of the significance of transfer learning: Data efficiency, Faster Training Convergence, Improved Generalization, Addressing Domain Shift, Task-Specific fine-tuning, Reduced Computational Resources, Versatility Across Domains, etc.
Regards
Jogeswar Tripathy
Transfer learning is good as long as we follow that architecture, if we have a new concept and its underlying application better to build your own architecture.
- Badges
- Science topic
- Similar topics
- Phytochemistry
- Extracts