Week 17: One-shot Learning

Overview

• One-shot Learning

Log

• 5/22/2017

Note

• What is One-shot Learning?
  • [Wikipedia] One-shot learning is an object categorization problem in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one-shot learning aims to learn information about object categories from one, or only a few, training images.
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Udacity Nanodegree Program: Deep Learning Foundation: Week 17