Ramo / Unknown Hands-On Java Deep Learning for Computer Vision

Implement machine learning and neural network methodologies to perform computer vision-related tasks
1. Auflage 2019
ISBN: 978-1-83855-213-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 260 Seiten

No detailed description available for "Hands-On Java Deep Learning for Computer Vision".

Autoren/Hrsg.

Ramo, Klevis

Unknown,

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Table of Contents - Introduction to Computer Vision and Training Neural Networks
- Convolutional Neural Network Architectures
- Transfer Learning and Deep CNN Architectures
- Real-Time Object Detection
- Creating Art with Neural Style Transfer
- Face Recognition

Über Autor(innen)

Ramo Klevis:

Klevis Ramo is a highly motivated software engineer with a solid educational background who loves writing. He aims to create stable and creative solutions with performance in mind. Klevis is passionate about coding and machine learning with several open source contributions and is experienced at developing web services and REST API. He is always eager to learn new technologies and to improve system performance and scalability.