Selected MCQ

Current Question
In deep learning, what is 'fine-tuning'?
  • A. Re-initializing weights
  • B. Training only the final layer of a pre-trained model
  • C. Decreasing model depth
  • D. Hyperparameter optimization
Correct Answer: B
Explanation:
Fine-tuning means training or adjusting a pre-trained model (often its final layers) on new data.
Related Question 1
Which emerging tech generates realistic human images and voices via deep learning?
  • A. Blockchain
  • B. Generative AI (e.g., GANs)
  • C. Quantum computing
  • D. Fiber optics
Correct Answer: B
Explanation:
Generative AI models such as GANs can generate realistic synthetic images, audio, and text.
Related Question 2
What does SDN (Software Defined Networking) allow?
  • A. Hardware-only management
  • B. Dynamic network configuration via software control
  • C. Eliminating routers
  • D. Only static routing
Correct Answer: B
Explanation:
SDN separates control and data planes, enabling programmable network configurations.
Related Question 3
What is 'ensemble learning' in machine learning?
  • A. Training deep networks only
  • B. Combining predictions of multiple models
  • C. Feature scaling process
  • D. A single-model hyperparameter search
Correct Answer: B
Explanation:
Ensemble learning combines predictions from several models to improve overall performance.
Related Question 4
Which of these is a type of unsupervised learning algorithm?
  • A. Decision tree
  • B. K-means clustering
  • C. Logistic regression
  • D. Random forest
Correct Answer: B
Explanation:
K-means is a clustering algorithm used in unsupervised learning.
Related Question 5
Which algorithm is best suited for classification tasks in machine learning?
  • A. Linear regression
  • B. K-means
  • C. Support vector machine
  • D. PCA
Correct Answer: C
Explanation:
Support Vector Machine is commonly used for classification problems.