Week 3 Quiz
Graded Quiz • 30 min Quiz8 Questions Week 3
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Week 3 Quiz

Graded Quiz • 30 min Quiz8 Questions Week 3
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Q:

If I put a dropout parameter of 0.2, how many nodes will I lose?

Q:

Why is transfer learning useful?

Q:

How did you lock or freeze a layer from retraining?

Q:

How do you change the number of classes the model can classify when using transfer learning? (i.e. the original model handled 1000 classes, but yours handles just 2)

Q:

Can you use Image Augmentation with Transfer Learning Models?

Q:

Why do dropouts help avoid overfitting?

Q:

What would the symptom of a Dropout rate being set too high?

Q:

Which is the correct line of code for adding Dropout of 20% of neurons using TensorFlow

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