Deep Learning for Vision Systems

Deep Learning for Vision Systems
Author :
Publisher : Manning Publications
Total Pages : 478
Release :
ISBN-10 : 9781617296192
ISBN-13 : 1617296198
Rating : 4/5 (198 Downloads)

Book Synopsis Deep Learning for Vision Systems by : Mohamed Elgendy

Download or read book Deep Learning for Vision Systems written by Mohamed Elgendy and published by Manning Publications. This book was released on 2020-11-10 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings


Deep Learning for Vision Systems Related Books

Deep Learning for Vision Systems
Language: en
Pages: 478
Authors: Mohamed Elgendy
Categories: Computers
Type: BOOK - Published: 2020-11-10 - Publisher: Manning Publications

DOWNLOAD EBOOK

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only h
Computer Vision in Control Systems-1
Language: en
Pages: 385
Authors: Margarita N. Favorskaya
Categories: Technology & Engineering
Type: BOOK - Published: 2014-11-01 - Publisher: Springer

DOWNLOAD EBOOK

This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contribut
Computer Vision and Recognition Systems
Language: en
Pages: 272
Authors: Chiranji Lal Chowdhary
Categories: Science
Type: BOOK - Published: 2022-03-10 - Publisher: CRC Press

DOWNLOAD EBOOK

This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from resear
Computer Vision and Applications
Language: en
Pages: 703
Authors: Bernd Jahne
Categories: Computers
Type: BOOK - Published: 2000-05-24 - Publisher: Elsevier

DOWNLOAD EBOOK

Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectr
Building Intelligent Systems: Utilizing Computer Vision, Data Mining, and Machine Learning
Language: en
Pages: 460
Authors: Phil Tian
Categories:
Type: BOOK - Published: 2013-05-21 - Publisher:

DOWNLOAD EBOOK

Consumers are now demanding and expecting more from technology. Building intelligence into our devices is a promising way to satisfy this demand by providing mo