Sugomori Java Deep Learning Essentials

Unlocking the next generation of predictive power
1. Auflage 2016
ISBN: 978-1-78528-314-7
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 254 Seiten

No detailed description available for "Java Deep Learning Essentials".

Autoren/Hrsg.

Sugomori, Yusuke

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Deep Learning Overview
- Algorithms for Machine Learning – Preparing for Deep Learning
- Diving Deep into Deep Learning
- Deep Learning Libraries

- Practical Applications of Deep Learning - I
- Practical Applications of Deep Learning - II
- Other Deep Learning Areas
- What's Next

Über Autor(innen)

Sugomori Yusuke:

Yusuke Sugomori is a creative technologist with a background in information engineering. When he was a graduate school student, he cofounded Gunosy with his colleagues, which uses machine learning and web-based data mining to determine individual users' respective interests and provides an optimized selection of daily news items based on those interests. This algorithm-based app has gained a lot of attention since its release and now has more than 10 million users. The company has been listed on the Tokyo Stock Exchange since April 28, 2015. In 2013, Sugomori joined Dentsu, the largest advertising company in Japan based on nonconsolidated gross profit in 2014, where he carried out a wide variety of digital advertising, smartphone app development, and big data analysis. He was also featured as one of eight "new generation" creators by the Japanese magazine Web Designing. In April 2016, he joined a medical start-up as cofounder and CTO.