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Questions and Answers
What is Dropout?
What is Dropout?
- Adding labeled data to the training set
- Training on adversarial examples
- A technique where randomly selected neurons are ignored during training (correct)
- Adding noise to the input data
What is the purpose of Dropout in neural network training?
What is the purpose of Dropout in neural network training?
- To add noise to the input data
- To reduce the number of neurons in the network
- To learn multiple independent internal representations (correct)
- To improve the accuracy of the model
What are some other techniques that can be used for regularization in neural network training?
What are some other techniques that can be used for regularization in neural network training?
- Increasing the number of layers in the network
- Adding noise, adding unlabeled data, adding other tasks (correct)
- Dropping out all neurons except for a few
- Training on adversarial examples
What is Dropout in neural networks?
What is Dropout in neural networks?
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What is the purpose of Dropout in neural networks?
What is the purpose of Dropout in neural networks?
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What are some other techniques used for regularization in neural networks?
What are some other techniques used for regularization in neural networks?
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