1. Learn
    2. /
  2. Courses
    3. /
  3. Introduction to NumPy

Exercise

Augmenting Monet

Perhaps you're still working on that machine learning model that identifies ocean scenes in paintings. You'd like to generate a few extra images to augment your existing data. After all, a human can tell that a painting is of an ocean even if the painting is upside-down: why shouldn't your machine learning model?

numpy is loaded as np, and the 3D Monet rgb_array is available.

Instructions 1/2

undefined XP
  • 1
    • Flip rgb_array so that it is the mirror image of the original, with the ocean on the right and grassy knoll on the left.
  • 2
    • Flip rgb_array so that it is upside down but otherwise remains the same.