Deep Learning for Computer Vision
Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, image generation, and more. You will also explore their application using the popular Python libraries such as TensorFlow and Keras. With practical examples, you will learn to develop Computer Vision applications by leveraging the power of deep learning.
Offered by
Difficulty Level
Intermediate
Completion Time
10h20m
Language
English
About Book
Who Is This Book For?
This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.
Deep Learning for Computer Vision
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h20m total length
Getting Started
Image Classification
Image Retrieval
Object Detection
Semantic Segmentation
Similarity Learning
Image Captioning
Generative models
Video Classification
Deployment
Related Resources
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