Predictive Analytics with TensorFlow 7.2: Fine-tuning DNN Hyperparameters

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Information Technology (IT), Architecture, Social Studies, Health Sciences, Biology
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What are hyperparameters in the context of neural networks?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the performance of a neural network depend on the type of application?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the significance of precision and recall in classification tasks.
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the F1 score and how is it calculated?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the role of the ROC curve in evaluating classification performance.
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What are some common regularization techniques used to prevent overfitting in deep neural networks?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
How does dropout work as a regularization method in neural networks?
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