Kostadinov Recurrent Neural Networks with Python Quick Start Guide

Sequential learning and language modeling with TensorFlow
1. Auflage 2018
ISBN: 978-1-78913-366-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 122 Seiten

No detailed description available for "Recurrent Neural Networks with Python Quick Start Guide".

Autoren/Hrsg.

Kostadinov, Simeon

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Introducing Recurrent Neural Networks
- Building Your First RNN with TensorFlow
- Generating Your Own Book Chapter
- Creating a Spanish-to-English Translator
- Build Your Personal Assistant
- Improve Your RNN Performance

Über Autor(innen)

Kostadinov Simeon:
Simeon Kostadinoff works for a startup called Speechify which aims to help people go through their readings faster by converting any text into speech. Simeon is Machine Learning enthusiast who writes a blog and works on various projects on the side. He enjoys reading different research papers and implement some of them in code. He was ranked number 1 in mathematics during his senior year of high school and thus he has deep passion about understanding how the deep learning models work under the hood. His specific knowledge in Recurrent Neural Networks comes from several courses that he has taken at Stanford University and University of Birmingham. They helped in understanding how to apply his theoretical knowledge into practice and build powerful models. In addition, he recently became a Stanford Scholar Initiative which includes working in a team of Machine Learning researchers on a specific deep learning research paper.