
Reinforcement Learning and Deep RL Python Theory and Projects - Tips for Accuracy Improvement
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the initial steps mentioned for training a model?
Implementing complex algorithms
Loading the environment
Skipping evaluation
Using a large dataset
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a suggested action if the chosen algorithm does not provide good rewards?
Reduce the number of episodes
Try different algorithms
Change the model architecture
Increase the dataset size
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a method to improve model accuracy?
Ignore model performance
Tune hyperparameters
Reduce the number of training steps
Decrease the learning rate
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the hyperparameters mentioned that can be tuned?
Activation function
Learning rate
Optimizer type
Batch size
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential benefit of training a model for a longer number of episodes?
Simplified model architecture
Faster training time
Improved model accuracy
Decreased computational cost
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