Di / Bhardwaj / Wei Deep Learning Essentials

Your hands-on guide to the fundamentals of deep learning and neural network modeling
1. Auflage 2018
ISBN: 978-1-78588-777-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 284 Seiten

No detailed description available for "Deep Learning Essentials".

Autoren/Hrsg.

Di, Wei

Bhardwaj, Anurag

Wei, Jianing

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Why Deep Learning?
- Getting Yourself Ready for Deep Learning
- Getting Started with Neural Networks
- Deep Learning in Computer Vision
- NLP - Vector Representation
- Advanced Natural Language Processing
- Multimodality
- Deep Reinforcement Learning
- Deep Learning Hacks
- Deep Learning Trends

Über Autor(innen)

Di Wei:
Wei Di is a data scientist with years of experience in machine learning and artificial intelligence. She is passionate about creating smart and scalable intelligent solutions that can impact millions of individuals and empower successful business. Currently, she works a staff data scientist in LinkedIn. She was previously associated with eBay Human Language Technology team and eBay Research Labs. Prior to that, she was with ancestry, working on large-scale data mining in the areas of record linkage. She received her PhD from Purdue University in 2011.Wei Jianing:
Jianing Wei is a senior software engineer at Google Research. He works in the area of computer vision and computational imaging. Prior to joining Google in 2013, Jianing worked at Sony US Research Center for four years in the area of 3D computer vision and image processing. Jianing obtained his Ph.D. in Electrical and Computer Engineering from Purdue University in 2010.Bhardwaj Anurag:
Anurag Bhardwaj currently leads data science efforts at Wiser Solutions, where he focuses on structuring large scale eCommerce inventory. He is particularly interested in using machine learning to solve problems on product category classification, product matching and various related problems in eCommerce. Previously, he worked on image understanding at eBay Research Labs. Anurag received his PhD and MS from the State University of New York at Buffalo and holds a BTech in computer engineering from the National Institute of Technology, Kurukshetra, India.