About this document

AML End Sem MOD 1 by Boku by Vibhav is a document available to read on EtoBox.

Multi-Task Learning (MTL) is a machine learning approach that trains multiple related tasks simultaneously using shared models to improve prediction accuracy and generalization. It enhances learning by allowing tasks to share information, reducing overfitting, and enabling tasks with scarce data to benefit from richer datasets. MTL architecture typically includes shared and task-specific layers, and parameter sharing helps in learning common features and improving model stability.

Author

Vibhav

Language

EN