
Compară ofertele (1)
Prețurile sunt preluate automat din feed-urile magazinelor și pot diferi față de site-ul magazinului. Verifică prețul final la magazin.
Descriere Deep Learning for Vision Systems - Mohamed Elgendy
\nHow 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 \n 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 \n 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 \n 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 \n Advanced deep learning architectures \n Transfer learning and generative adversarial networks \n DeepDream and neural style transfer \n Visual embeddings and image search About the reader \n For intermediate Python programmers. About the author \n 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 visio
Detalii
- Brand
- Manning Publications
- Categorie
- ENSTK
- EAN / GTIN
- 9781617296192
- Magazine
- 1
- Disponibilitate
- in stock
Produse similare

Manning Publications
Effective Software Testing: A Developer's Guide - Mauricio Aniche
347,69 RON
libris.ro

Manning Publications
Grokking Deep Reinforcement Learning - Miguel Morales
347,69 RON
libris.ro

Manning Publications
Learn Generative AI with Pytorch - Mark Liu
347,69 RON
libris.ro

Manning Publications
Writing for Developers: Blogs That Get Read - Piotr Sarna
347,69 RON
libris.ro

Manning Publications
Llms in Action: Analyzing Text, Tables, Images and Sound - Immanuel Trummer
347,69 RON
libris.ro

Manning Publications
Modern Angular: Also Covers Signals, Standalone, Ssr, Zoneless, and More - Armen Vardanyan
347,69 RON
libris.ro

Manning Publications
Quarkus in Action - Martin Stefanko
347,69 RON
libris.ro

Manning Publications
How Large Language Models Work - Edward Raff
347,69 RON
libris.ro
