Planche / Andres Hands-On Computer Vision with TensorFlow 2

Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
1. Auflage 2019
ISBN: 978-1-78883-926-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 372 Seiten

No detailed description available for "Hands-On Computer Vision with TensorFlow 2".

Autoren/Hrsg.

Planche, Benjamin

Andres, Eliot

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

Table of Contents - 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

Über Autor(innen)

Planche Benjamin:

Dr. Benjamin Planche is a passionate research scientist in computer vision and machine learning. His main research efforts focus on data scarcity problems and industrial vision systems, leading to numerous patents and publications at international conferences. He worked in various research labs around the world (including in France, Japan, Germany, and the USA). Benjamin obtained his Ph.D. summa cum laude from the Faculty of Computer Science and Mathematics at the University of Passau, under the supervision of Prof. Dr. Harald Kosch. He also has a double master's degree from INSA-Lyon (France) and the University of Passau (Germany), with first-class honors and a multinational excellence award. He also likes sharing his knowledge and experience on various platforms or applying them to the creation of aesthetic demos.Andres Eliot:

Eliot Andres is a freelance deep learning and computer vision engineer. He has more than 3 years' experience in the field, applying his skills to a variety of industries, such as banking, health, social media, and video streaming. Eliot has a double master's degree from cole des Ponts and Tlcom, Paris. His focus is industrialization: delivering value by applying new technologies to business problems. Eliot keeps his knowledge up to date by publishing articles on his blog and by building prototypes using the latest technologies.