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Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications Cover

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Paid access
|Dec 2020
Table of contents

Table of Contents

  1. Artificial Neural Network Fundamentals
  2. PyTorch Fundamentals
  3. Building a Deep Neural Network with PyTorch
  4. Introducing Convolutional Neural Networks
  5. Transfer Learning for object Classification
  6. Practical Aspects of Image Classification
  7. Basics of Object detection
  8. Advanced object detection
  9. Image segmentation
  10. Applications of object detection and localization
  11. Autoencoders and Image Manipulation
  12. Image generation using GAN
  13. Advanced GANs to manipulate images
  14. Training with minimal data points
  15. Combining Computer Vision and NLP techniques
  16. Combining Computer Vision and Reinforcement Learning
  17. Moving a Model to Production
  18. OpenCV utilities for image analysis

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PDF ISBN: 978-1-83921-653-4
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 824
Modern Computer Vision with PyTorch