Skip to Content
Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
book

Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

by Shamshad Ansari
July 2020
Intermediate to advanced
467 pages
9h 44m
English
Apress
Content preview from Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
© Shamshad Ansari 2020
S. AnsariBuilding Computer Vision Applications Using Artificial Neural Networkshttps://doi.org/10.1007/978-1-4842-5887-3_5

5. Deep Learning and Artificial Neural Networks

Shamshad Ansari1 
(1)
Centreville, VA, USA
 
This chapter will cover deep learning and artificial neural networks. The chapter will explore this topic with working code examples to show how to apply deep learning concepts in computer vision. Our learning objectives of this chapter are as follows:
  • To understand neural networks, their architecture, and various mathematical functions and algorithms that work behind the scenes.

  • To write code in TensorFlow to ingest images, extract features, and train different types of neural networks.

  • To write code and understand how ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Joseph Howse, Joe Minichino

Publisher Resources

ISBN: 9781484258873Purchase LinkPublisher Website