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
Details e-book Deep Learning for Vision Systems
🗸 Author(s): Mohamed Elgendy
🗸 Title: Deep Learning for Vision Systems
🗸 Rating : 4.8 from 5 stars (51 reviews)
🗸 ISBN-10: 1617296198
🗸 ISBN-13: 9781617296192
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle
✓ Read as many eBooks you want!
✓ Secure Scanned. No Virus Detected
✓ Thousands of eBooks to choose from - Hottest new releases
✓ Click it and Read it! - no waiting to read eBooks, it's instant!
✓ Keep reading your favorite eBooks over and over!
✓ It works anywhere in the world!
✓ No late fees or fixed contracts - cancel anytime!
Readers' opinions about Deep Learning for Vision Systems by Mohamed Elgendy
Landon Pollard
This gripping thriller takes readers on a rollercoaster ride through the dark alleys of a crime-ridden city, where the protagonists must unravel a complex web of deceit to solve a murder. The plot twists are relentless, keeping readers on the edge of their seats until the final revelation. With its well-developed characters and gritty atmosphere, this book is a must-read for fans of the genre.
Sarah Byrne
Delve into the pages of this engrossing historical fiction novel, where the past comes alive in vivid detail. Set against the backdrop of a bygone era, the story follows the lives of ordinary people caught up in extraordinary events. With its richly drawn characters and immersive storytelling, this book offers a glimpse into a world long gone but not forgotten.
Imogen Williams
Explore the mysteries of the universe with this fascinating exploration of astronomy and cosmology. From the origins of the universe to the search for extraterrestrial life, the author takes readers on a journey through the cosmos, shedding light on some of the universe's most profound mysteries. With its accessible language and engaging narrative, this book is a perfect introduction to the wonders of the cosmos.
