Ayyadevara / Reddy | Modern Computer Vision with PyTorch | E-Book | sack.de
E-Book

E-Book, Englisch, 746 Seiten

Ayyadevara / Reddy Modern Computer Vision with PyTorch

A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
2. Auflage 2024
ISBN: 978-1-80324-093-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

E-Book, Englisch, 746 Seiten

ISBN: 978-1-80324-093-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection



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Weitere Infos & Material


Table of Contents - Artificial Neural Network Fundamentals
- PyTorch Fundamentals
- Building a Deep Neural Network with PyTorch
- Introducing Convolutional Neural Networks
- Transfer Learning for Image Classification
- Practical Aspects of Image Classification
- Basics of Object Detection
- Advanced Object Detection
- Image Segmentation
- Applications of Object Detection and Segmentation
- Autoencoders and Image Manipulation
- Image Generation Using GANs
- Advanced GANs to Manipulate Images
- Combining Computer Vision and Reinforcement Learning
- Combining Computer Vision and NLP Techniques
- Foundation Models in Computer Vision
- Applications of Stable Diffusion
- Moving a Model to Production
- Appendix


Ayyadevara V Kishore:
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.Reddy Yeshwanth:
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.



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