Question: What is the primary purpose of a recurrent neural network (RNN)?
Answer:
The primary purpose of a recurrent neural network (RNN) is time series analysis and sequence modeling, where data has temporal dependencies.
MCQ: What is the primary purpose of a recurrent neural network (RNN)?
Correct Answer:
A. Image classification
Explanation:
The primary purpose of a recurrent neural network (RNN) is time series analysis and sequence modeling, where data has temporal dependencies.
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Related Questions
- 1. Which machine learning technique is used for grouping similar data points together based on their characteristics?
- 2. What is the term for the process of fine-tuning a machine learning model's hyperparameters to improve its performance?
- 3. What is the term for the process of teaching a machine learning model by providing it with labeled examples?
- 4. In machine learning, what is the term for the difference between a model's predicted output and the actual correct output?
- 5. Which machine learning algorithm is commonly used for solving classification problems, particularly for binary classification?
- 6. What is the primary challenge associated with overfitting in machine learning?
- 7. What type of machine learning technique is used for making a sequence of decisions to maximize a cumulative reward?
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