Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
1145704217
Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
48.99 In Stock
Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

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Product Details

ISBN-13: 9781803240930
Publisher: Packt Publishing
Publication date: 06/10/2024
Sold by: Barnes & Noble
Format: eBook
Pages: 746
File size: 71 MB
Note: This product may take a few minutes to download.

About the Author

Kishore Ayyadevara is an entrepreneur and a hands-on leader working at the intersection of technology, data, and AI to identify and solve business problems. With over a decade of experience in leadership roles, Kishore has established and grown successful applied data science teams at American Express and Amazon, as well as a top health insurance company. In his current role, he is building a start-up focused on making AI more accessible to healthcare organizations. Outside of work, Kishore has shared his knowledge through his five books on ML/AI, is an inventor with 12 patents, and has been a speaker at multiple AI conferences.
Yeshwanth Reddy is a highly accomplished data scientist manager with 9+ years of experience in deep learning and document analysis. He has made significant contributions to the field, including building software for end-to-end document digitization, resulting in substantial cost savings. Yeshwanth's expertise extends to developing modules in OCR, word detection, and synthetic document generation. His groundbreaking work has been recognized through multiple patents. He has also created a few Python libraries. With a passion for disrupting unsupervised and self-supervised learning, Yeshwanth is dedicated to reducing reliance on manual annotation and driving innovative solutions in the field of data science.

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 Image 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 Segmentation
  11. Autoencoders and Image Manipulation
  12. Image Generation Using GANs
  13. Advanced GANs to Manipulate Images
  14. Combining Computer Vision and Reinforcement Learning
  15. Combining Computer Vision and NLP Techniques
  16. Foundation Models in Computer Vision
  17. Applications of Stable Diffusion
  18. Moving a Model to Production
  19. Appendix
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