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ece472, Assignment 4

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ece, Assignment 4
Submit by Oct. , pm
tldr: Classify cifar. Acheive performance similar to the state of the art. Classify
cifar. Achieve a top-5 accuracy of 80%.
Problem Statement Consider the cifar and cifar datasets which contain
32 × 32 pixel color images.

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ece, Assignment 4
Submit by Oct. , pm
tldr: Classify cifar. Acheive performance similar to the state of the art. Classify
cifar. Achieve a top-5 accuracy of 80%.
Problem Statement Consider the cifar and cifar datasets which contain
32 × 32 pixel color images. Train a classifier for each of these with performance
similar to the state of the art (for cifar. It is your task to figure out what is state
of the art. Feel free to adapt any techniques from papers you read. I encourage you
to experiment with normalization techniques and optimization algorithms in this
assignment. Write a paragraph or two summarizing your experiments. Hopefully
you’ll be able to resuse your mnist program.

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