McClure TensorFlow Machine Learning Cookbook

Over 60 practical recipes to help you master Google's TensorFlow machine learning library
1. Auflage 2017
ISBN: 978-1-78646-630-3
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 370 Seiten

No detailed description available for "TensorFlow Machine Learning Cookbook".

Autoren/Hrsg.

McClure, Nick

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Table of Contents - Getting started with TensorFlow
- The Tensorflow Way
- Linear Regression
- Support Vector Machines
- Nearest Neighbor Methods
- Neural Networks
- Natural Language Processing
- Convolutional Neural Networks
- Reccurrent Neural Networks
- Taking TensorFlow to Production
- More with TensorFlow

Über Autor(innen)

McClure Nick:

Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow Group and Caesar's Entertainment Corporation. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University. He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog or through his Twitter account, @nfmcclure.