Hands-On Computer Vision with TensorFlow 2
Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google's open-source AI framework, and teaches how to leverage deep neural networks for visual tasks. It will help you acquire the insight and skills to be a part of the exciting advances in computer vision.
Offered by
Difficulty Level
Intermediate
Completion Time
12h24m
Language
English
About Book
Who Is This Book For?
If you’re new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you’re an expert curious about the new TensorFlow 2 features, you’ll find this book useful. While some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps.
Hands-On Computer Vision with TensorFlow 2
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h24m total length
Computer Vision and Neural Networks
TensorFlow Basics and Training a Model
Modern Neural networks
Influential Classification Tools
Object Detection Models
Enhancing and Segmenting Images
Training on Complex and Scarce Datasets
Video and Recurrent Neural Networks
Optimizing Models and Deploying on Mobile Devices
Appendix
Related Resources
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