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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_6

6. Deep Learning in Object Detection

Shamshad Ansari1 
(1)
Centreville, VA, USA
 

In the previous chapter, we discovered how to classify images using a standard multilayer perceptron (MLP) and a convolutional neural network (CNNs). During classification tasks, we predict the class of the entire image and do not care what kind of objects are in the image. In this chapter, we will detect objects and their locations within the image.

The learning objectives of this chapter are as follows:
  • We will explore some of the popular deep learning algorithms used in object detection.

  • We will train our own object detection ...

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Publisher Resources

ISBN: 9781484258873Purchase LinkPublisher Website