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Mastering Computer Vision with TensorFlow 2.x

You're reading from Mastering Computer Vision with TensorFlow 2.x Build advanced computer vision applications using machine learning and deep learning techniques

Product type Paperback

Published in May 2020

Publisher Packt

ISBN-13 9781838827069

Length 430 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Krishnendu Kar

View More author details

Table of Contents (18) Chapters

Preface

1. Section 1: Introduction to Computer Vision and Neural Networks

2. Computer Vision and TensorFlow Fundamentals FREE CHAPTER

3. Content Recognition Using Local Binary Patterns

4. Facial Detection Using OpenCV and CNN

5. Deep Learning on Images

6. Section 2: Advanced Concepts of Computer Vision with TensorFlow

7. Neural Network Architecture and Models

8. Visual Search Using Transfer Learning

9. Object Detection Using YOLO

10. Semantic Segmentation and Neural Style Transfer

11. Section 3: Advanced Implementation of Computer Vision with TensorFlow

12. Action Recognition Using Multitask Deep Learning

13. Object Detection Using R-CNN, SSD, and R-FCN

14. Section 4: TensorFlow Implementation at the Edge and on the Cloud

15. Deep Learning on Edge Devices with CPU/GPU Optimization

16. Cloud Computing Platform for Computer Vision

17. Other Books You May Enjoy

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Technical requirements

If you have not done so already, install Anaconda from https://www.anaconda.com. Anaconda is a package manager for Python. You also need to install OpenCV for all of the computer vision work you will be carrying out, using pip install opencv-python. OpenCV is a library of built-in programming functions for computer vision work.

You have been reading a chapter from

Mastering Computer Vision with TensorFlow 2.x

Published in: May 2020

Publisher: Packt

ISBN-13: 9781838827069

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Authors (1)

Kar

Kar

Krishnendu (Krish) is passionate about research on computer vision and solving AI problems to make our life simpler. His core expertise is deep learning - computer vision, IoT, and agile software development. Krish is also a passionate app developer and has a dash cam-based object and lane detection and turn by turn navigation and fitness app in the iOS app store - Nity Map AI Camera & Run timer.

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