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AIS412 Lecture 9: Image Classifiers

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Questions and Answers

What is the primary disadvantage of the Nearest Neighbor classifier?

Fast training and fast prediction

Slow training and slow prediction

Fast training but slow prediction

Slow training but fast prediction (correct)

In K-Nearest Neighbors, what is the purpose of taking a majority vote from the K closest points?

To select a random point

To calculate the average distance

To find the furthest neighbor

To classify the test image (correct)

What are hyperparameters in machine learning?

Test data used for validation

Choices about the data that are set rather than learned (correct)

Results of cross-validation

Parameters automatically learned by the model

What is the major drawback of always choosing K = 1 when setting hyperparameters?

Overfitting to the training data Signup and view all the answers

What is the purpose of cross-validation in machine learning?

To evaluate prediction performance Signup and view all the answers

What is the main challenge in developing an image classifier compared to sorting a list of numbers?

Recognizing different classes like cats requires a more complex algorithm Signup and view all the answers

What is the first step in using machine learning to train an image classifier?

Collect a dataset of images and labels Signup and view all the answers

What is the role of the 'Nearest Neighbor' method in image classification?

Memorize all data and labels then predict the label of the most similar training image Signup and view all the answers

In the CIFAR10 dataset, how many testing images are included for evaluation?

10,000 Signup and view all the answers

Why is the training process for image classifiers considered time-consuming?

The dataset used for training is usually very large Signup and view all the answers