Train an Image Classifier

Summary

The practice project for this phase — train a CNN (from scratch or via transfer learning) to classify images into categories, and document your architecture choices and results.

• 1Choose a manageable image dataset (not enormous) to keep training time reasonable.
• 2Start with transfer learning before attempting to train a CNN fully from scratch.
• 3Document your model's accuracy, training curves, and a few example predictions (right and wrong).