Holdroyd TensorFlow 2.0 Quick Start Guide

Get up to speed with the newly introduced features of TensorFlow 2.0
1. Auflage 2019
ISBN: 978-1-78953-696-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 196 Seiten

No detailed description available for "TensorFlow 2.0 Quick Start Guide".

Autoren/Hrsg.

Holdroyd, Tony

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Introducing TensorFlow 2
- Keras, a High-Level API for TensorFlow 2
- ANN Technologies Using TensorFlow 2
- Supervised Machine Learning Using TensorFlow 2
- Unsupervised Learning Using TensorFlow 2
- Recognizing Images with TensorFlow 2
- Neural Style Transfer Using TensorFlow 2
- Recurrent Neural Networks Using TensorFlow 2
- TensorFlow Estimators and TensorFlow Hub
- Converting from tf1.12 to tf2

Über Autor(innen)

Holdroyd Tony:
Tony Holdroyd's first degree, from Durham University, was in maths and physics. He also has technical qualifications, including MCSD, MCSD.net, and SCJP. He holds an MSc in computer science from London University. He was a senior lecturer in computer science and maths in further education, designing and delivering programming courses in many languages, including C, C+, Java, C#, and SQL. His passion for neural networks stems from research he did for his MSc thesis. He has developed numerous machine learning, neural network, and deep learning applications, and has advised in the media industry on deep learning as applied to image and music processing. Tony lives in Gravesend, Kent, UK, with his wife, Sue McCreeth, who is a renowned musician.