What is Model Evaluation in Deep Learning and why is validation crucial?

Model evaluation is the process of measuring a model’s performance using metrics on validation and test datasets to ensure generalization.

Model evaluation determines how well a trained neural network performs on unseen data.

Key datasets:

Why validation is important:

Common metrics:

Why accuracy alone is insufficient: