Using Image Augmentation effectively simulates having a larger data set for training.

Practice More Questions From: Week 2 Quiz

Q:

How do you use Image Augmentation in TensorFLow

Q:

If my training data only has people facing left, but I want to classify people facing right, how would I avoid overfitting?

Q:

When training with augmentation, you noticed that the training is a little slower. Why?

Q:

What does the fill_mode parameter do?

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When using Image Augmentation with the ImageDataGenerator, what happens to your raw image data on-disk.

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How does Image Augmentation help solve overfitting?

Q:

When using Image Augmentation my training gets…

Q:

Using Image Augmentation effectively simulates having a larger data set for training.

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