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Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications
Chapter in the book
Modern Computer Vision with PyTorch
Publisher:
Packt Publishing Limited
By:
V Kishore Ayyadevara
and
Yeshwanth Reddy
Paid access
|
Dec 2020
Book details
Table of contents
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
PDF preview is not available for this content.
PDF ISBN:
978-1-83921-653-4
Publisher:
Packt Publishing Limited
Copyright owner:
© 2020 Packt Publishing Limited
Publication date:
2020
Language:
English
Pages:
824
Related subjects:
Computer sciences
,
Computer sciences, other
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