Shanmugamani Deep Learning for Computer Vision

Expert techniques to train advanced neural networks using TensorFlow and Keras
1. Auflage 2018
ISBN: 978-1-78829-335-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 310 Seiten

No detailed description available for "Deep Learning for Computer Vision".

Autoren/Hrsg.

Shanmugamani, Rajalingappaa

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Getting Started
- Image Classification

- Image Retrieval

- Object Detection

- Semantic Segmentation

- Similarity Learning

- Image Captioning
- Generative models
- Video Classification

- Deployment

Über Autor(innen)

Shanmugamani Rajalingappaa:

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.