Machine Learning Advanced Quiz 5
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Advanced Quiz 5
1. Which of the following is a challenge in training deep neural networks?
Exploding and vanishing gradients
Lack of labeled data
Too few parameters
2. What is the main concept behind the kernel trick in SVM?
Transforming data into higher dimensions for linear separation
Reducing the number of features
Increasing batch size
3. Which method is used to stabilize GAN training?
Label smoothing
Feature scaling
One-hot encoding
4. What is the main advantage of using ensemble learning?
Improved generalization and robustness
Simpler models
Faster training
5. Which of the following is a property of the softmax function?
Outputs a probability distribution over classes
Reduces dimensionality
Used for regression
6. Which method is used to reduce overfitting in deep learning?
Dropout
BatchNorm
Pooling
7. What is the main characteristic of a Markov property?
Future state depends only on the current state
States are independent
Rewards are always negative
8. Which of the following is a challenge in unsupervised learning?
Lack of ground truth labels for evaluation
Overfitting to training data
Too many hyperparameters
9. In self-supervised learning for vision, what is a common pretext task?
Predicting the relative positions of image patches
Directly predicting class labels without training
Sorting images alphabetically by filename
10. In a Transformer, what is the main role of positional encoding?
To inject information about token order into the model
To normalize activations across the batch dimension
To randomly drop tokens during training
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