Practice More Questions From: Week 3 Quiz
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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