assignment1.md.txt - layout page mathjax true permalink assignments2015\/assignment1 In this assignment you will practice putting together a simple image

assignment1.md.txt - layout page mathjax true permalink...

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---layout: pagemathjax: truepermalink: assignments2015/assignment1/---In this assignment you will practice putting together a simple image classification pipeline, based on the k-Nearest Neighbor or the SVM/Softmax 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- implement and apply a **Softmax** classifier- understand the differences and tradeoffs between these classifiers- get a basic understanding of performance improvements from using **higher-level representations** than raw pixels (e.g. color histograms, Histogram of Gradient (HOG) features)## SetupYou can work on the assignment in one of two ways: locally on your own machine, or on a virtual machinethrough [Terminal]().

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