Question 1
In transfer learning, the target dataset is smaller than the base network data, and therefore, it is different?
- TRUE
- FALSE
- TRUE
Question 2
Which of the following is not the step for pre-trained model approach in transfer learning??
- Select Source Task
- Develop Source Model
- Reuse Model
- Tune Model
2. Develop Source Model
Question 3
_________focuses on semantic analysis or discerning the intended meaning of text?
- Natural language generation
- Natural language processing
- Natural language understanding
- Natural language knowledge
3. Natural language understanding
Question 4
Which of the following is not the application of NLP??
- Chatbots
- Voice assistants
- Semantic Analysis
- Clustering
4. Clustering
Question 5
Which of the following is not true about face detection??
- Low data storage
- Improved security
- Easy to integrate
- Automated identification
Question 6
Face recognition extends beyond detecting the presence of a human face to determine whose face it is?
- TRUE
- FALSE
- TRUE
Question 7
The sentiments happy, sad, angry, upset, jolly, pleasant, and so on come under ________?
- Fine-grained sentiment analysis
- Emotion detection
- Aspect based sentiment analysis
- Multilingual sentiment analysis
2. Emotion detection
Question 8
Training the existing ML models so that they may produce well a sequence of decisions is called as?
- Supervised method
- Unsupevised method
- Semi supervised method
- Reinforcement method
4. Reinforcement method
Question 9
Comparing neutral statements is a big task is not a big challenge for sentiment analyzer.?
- TRUE
- FALSE
2. FALSE
Question 10
Negative Reinforcement Learning adds negative behavior in the form of punishment so that ML models don’t produce the current sequence of results thereby encouraging them to perform better?
- TRUE
- FALSE
1. TRUE
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