Ayyadevara / Reddy Modern Computer Vision with PyTorch

Explore deep learning concepts and implement over 50 real-world image applications
1. Auflage 2020
ISBN: 978-1-83921-653-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 824 Seiten

No detailed description available for "Modern Computer Vision with PyTorch".

Autoren/Hrsg.

Ayyadevara, V Kishore

Reddy, Yeshwanth

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - Artificial Neural Network Fundamentals
- PyTorch Fundamentals
- Building a Deep Neural Network with PyTorch
- Introducing Convolutional Neural Networks
- Transfer Learning for object Classification
- Practical Aspects of Image Classification
- Basics of Object detection
- Advanced object detection
- Image segmentation
- Applications of object detection and localization
- Autoencoders and Image Manipulation
- Image generation using GAN
- Advanced GANs to manipulate images
- Training with minimal data points
- Combining Computer Vision and NLP techniques
- Combining Computer Vision and Reinforcement Learning
- Moving a Model to Production
- OpenCV utilities for image analysis

Über Autor(innen)

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.