[Solved] IAI Assignment 2

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In this assignment you will practice putting together a simple image classification pipeline based on the k-Nearest Neighbor or the SVM classifier. The goals of this assignment are as follows:

Understand the basic Image Classification pipeline and the data-driven approach (train/predict stages).

Understand the train/val/test splits and the use of validation data for hyperparameter tuning.

Develop proficiency in writing efficient vectorized code with numpy. Implement and apply a k-Nearest Neighbor (kNN) classifier.Implement and apply a Multiclass Support Vector Machine (SVM) classifier.

(a) k-Nearest Neighbor classifier [50pts]

The notebook knn.ipynb will walk you through implementing the kNN classifier. Fill the blanks in knn.ipynb and utilsclassifiersk_nearest_neighbor.py.

(b) Training a Support Vector Machine [50pts]The notebook svm.ipynb will walk you through implementing the SVM classifier. Fill the

blanks in svm.ipynb and utilsclassifierslinear_svm.py.