Question: What is the primary purpose of a convolutional neural network (CNN)?
Answer:
The primary purpose of a convolutional neural network (CNN) is image classification and recognition tasks, such as object detection in images.
MCQ: What is the primary purpose of a convolutional neural network (CNN)?
Correct Answer:
A. Natural language processing
Explanation:
The primary purpose of a convolutional neural network (CNN) is image classification and recognition tasks, such as object detection in images.
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Related Questions
- 1. What is the term for the process of reducing the dimensionality of data while preserving its essential features?
- 2. What type of machine learning algorithm is used for predicting numerical values or continuous outcomes?
- 3. Which machine learning technique aims to find the optimal solution by mimicking the process of natural selection and evolution?
- 4. In machine learning, what is the primary goal of feature engineering?
- 5. What is the term for the process of converting text data into numerical values for machine learning?
- 6. Which machine learning algorithm is commonly used for sentiment analysis in natural language processing (NLP)?
- 7. What is the term for the process of dividing a dataset into training and testing subsets to evaluate model performance?
- 8. What is the primary purpose of a recurrent neural network (RNN)?
- 9. Which machine learning technique is used for grouping similar data points together based on their characteristics?
- 10. What is the term for the process of fine-tuning a machine learning model's hyperparameters to improve its performance?
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