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Computer Vision Projects with OpenCV and Python 3

You're reading from   Computer Vision Projects with OpenCV and Python 3 Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Length 182 pages
Edition 1st Edition
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Author (1):
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Matthew Rever Matthew Rever
Author Profile Icon Matthew Rever
Matthew Rever
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Table of Contents (9) Chapters Close

Preface 1. Setting Up an Anaconda Environment FREE CHAPTER 2. Image Captioning with TensorFlow 3. Reading License Plates with OpenCV 4. Human Pose Estimation with TensorFlow 5. Handwritten Digit Recognition with scikit-learn and TensorFlow 6. Facial Feature Tracking and Classification with dlib 7. Deep Learning Image Classification with TensorFlow 8. Other Books You May Enjoy

Deep Learning Image Classification with TensorFlow

In this chapter, we will learn how to classify images using TensorFlow. First, we will use a pre-trained model, and then we'll proceed with training our own model using custom images.

Toward the end of the chapter, we will make use of the GPU to help us speed up our computations.

In this chapter, we will cover the following:

  • A deep introduction to TensorFlow
  • Using a pre-trained model (Inception) for image classification
  • Retraining with our own images
  • Speeding up computation with the GPU
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