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1. Machine learning is to automatically find patterns from data, but we need to divide the entire data set into a training set and a test set. The training set is used for training, and the test set is used to evaluate the generalization ability of the model.

A) True
B) False

2. A photo has many small noise points during storage. The best denoising effect is to perform () operation on the scanned copy.

A) Median Filter
B) Laplace filtering
C) Gaussian filtering
D) Mean Filter

3. What is the purpose of using gradient descent?

A) Finding label values
B) Changing the model structure
C) Prediction results (forward calculation in neural network)
D) Optimization parameters

4. What are the main methods for reducing the dimensionality of an image? (Multiple choice)

A) Segmentation of Region of Interest
B) Feature Descriptor
C) Downsampling
D) Denoising

5. In order to make the size of the feature map consistent with the input image, you can use the zero padding method to add a full 0 border to the input image and then calculate it.

A) True
B) False

Solutions: