Machine Learning Advanced Quiz 1
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Advanced Quiz 1
1. Which optimization algorithm is commonly used to train deep neural networks?
Adam
Apriori
K-Means
2. What does the "vanishing gradient" problem refer to in deep learning?
Gradients become too small for effective learning
Model weights become too large
Data is lost during training
3. Which of the following is a generative model?
Variational Autoencoder (VAE)
Support Vector Machine
Random Forest
4. What is the main purpose of batch normalization?
To stabilize and accelerate training
To increase model depth
To prevent overfitting
5. Which method is used to interpret black-box models?
LIME (Local Interpretable Model-agnostic Explanations)
Gradient Descent
Bagging
6. Which of the following is true about the ReLU activation function?
It outputs zero for negative inputs and linear for positive inputs
It is bounded between 0 and 1
It is used only in output layers
7. Which technique helps address class imbalance in deep learning?
Weighted loss functions
Increasing batch size
Reducing learning rate
8. What is the main idea behind transfer learning?
Using a pre-trained model on a new, related problem
Training multiple models in parallel
Combining unsupervised and supervised learning
9. Which metric is commonly used for evaluating clustering quality?
Silhouette Score
Accuracy
F1 Score
10. What is the main difference between LSTM and GRU cells?
GRU has fewer gates and parameters than LSTM
LSTM is only for regression
GRU cannot handle sequences
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