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What is Ad3501 DL Unit 4 about?

Unit 4 of the Deep Learning course focuses on model evaluation, covering performance metrics like accuracy, confusion matrix, precision, recall, F-score, and AUC-ROC. It discusses baseline models, their importance in machine learning for performance comparison, and types of baseline models including random, ML, and automated models. Additionally, it explains hyperparameters, their selection methods, and techniques such as grid search and random search for optimizing model performance.

Author

nithya mani

Language

EN