Exercise: Fine-Tune Pretrained Classification CNN

Problem statement

In this lesson, we’ll fine-tune a pretrained MobileNetV3 classification CNN on the CIFAR-10 dataset. CIFAR-10 is a dataset of 32x32 color images from 10 categories (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck). The training subset contains 50000 examples.