Quiz 17: Machine Vision Basics

Test your understanding of image classification, CNN architecture, and the steps in building a digit recognition model.

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1. Which type of neural network is most commonly used for image classification tasks?

Feedforward Neural Networks

Radial Basis Function Networks

Recurrent Neural Networks (RNNs)

Convolutional Neural Networks (CNNs)

2. What is the primary purpose of a pooling layer in a CNN?

To reduce the spatial dimensions of feature maps

To perform classification

To apply activation functions

To normalize pixel values

3. Which activation function is most commonly used in convolutional layers?

Softmax

ReLU

Tanh

Sigmoid

4. What metric is typically used to evaluate classification accuracy?

Gradient Magnitude

Accuracy

Mean Squared Error

Cross Entropy

5. What is the role of the softmax activation function in classification models?

To reduce overfitting

To apply max pooling

To convert logits to class probabilities

To detect edges

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