What is Feature Engineering in Deep Learning and how does it differ from traditional ML?

Feature engineering is the process of transforming raw data into meaningful representations, but deep learning reduces its need by learning features automatically.

Feature engineering is the process of creating meaningful input representations from raw data to improve model performance.

Traditional ML:

Deep learning:

Why deep learning reduces feature engineering: