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Modern Computer Vision with PyTorch

You're reading from   Modern Computer Vision with PyTorch Explore deep learning concepts and implement over 50 real-world image applications

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781839213472
Length 824 pages
Edition 1st Edition
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Authors (2):
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Yeshwanth Reddy Yeshwanth Reddy
Author Profile Icon Yeshwanth Reddy
Yeshwanth Reddy
V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1 - Fundamentals of Deep Learning for Computer Vision
2. Artificial Neural Network Fundamentals FREE CHAPTER 3. PyTorch Fundamentals 4. Building a Deep Neural Network with PyTorch 5. Section 2 - Object Classification and Detection
6. Introducing Convolutional Neural Networks 7. Transfer Learning for Image Classification 8. Practical Aspects of Image Classification 9. Basics of Object Detection 10. Advanced Object Detection 11. Image Segmentation 12. Applications of Object Detection and Segmentation 13. Section 3 - Image Manipulation
14. Autoencoders and Image Manipulation 15. Image Generation Using GANs 16. Advanced GANs to Manipulate Images 17. Section 4 - Combining Computer Vision with Other Techniques
18. Training with Minimal Data Points 19. Combining Computer Vision and NLP Techniques 20. Combining Computer Vision and Reinforcement Learning 21. Moving a Model to Production 22. Using OpenCV Utilities for Image Analysis 23. Other Books You May Enjoy Appendix

Installing PyTorch

PyTorch provides multiple functionalities that aid in building a neural network – abstracting the various components using high-level methods and also providing us with tensor objects that leverage GPUs to train a neural network faster.

Before installing PyTorch, we first need to install Python, as follows:

  1. To install Python, we'll use the anaconda.com/distribution/ platform to fetch an installer that will install Python as well as important deep learning-specific libraries for us automatically:

Choose the graphical installer of the latest Python version 3.xx (3.7, as of the time of writing this book) and let it download.

  1. Install it using the downloaded installer:
Choose the Add Anaconda to my PATH environment variable option during installation as this will make it easy to invoke Anaconda's version of Python when we type python in Command Prompt/Terminal.

Next, we'll install PyTorch, which is equally simple.

  1. Visit the QUICK START LOCALLY...
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