9 Deep Learning Models for Computer Vision

DOI: 10.1201/9781003348689-9

Learning Outcomes

After reading this chapter, you will be able to:

  • Understand the concepts for applying deep learning to computer vision.
  • Understand architectures of pre-trained models in computer vision.

9.1 Deep Learning for Computer Vision

In the past, building a database of photos was required for a computer to recognize images. Then, in order for an application to compare and make sense of the visual input, these photos required to be tagged with specific information. By enabling programmers to create features or little apps that could recognize patterns in photos, machine learning enhanced this laborious procedure. A learning algorithm might then be used by ...

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