Galeone Hands-On Neural Networks with TensorFlow 2.0

Understand TensorFlow, from static graph to eager execution, and design neural networks
1. Auflage 2019
ISBN: 978-1-78961-379-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 358 Seiten

No detailed description available for "Hands-On Neural Networks with TensorFlow 2.0".

Autoren/Hrsg.

Galeone, Paolo

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - What is Machine Learning?
- Neural Networks and Deep Learning
- TensorFlow Graph Architecture
- TensorFlow 2.0 Architecture
- Efficient Data Input Pipelines and Estimator API
- Image Classification using TensorFlow Hub
- Introduction to Object Detection
- Semantic Segmentation and Custom Dataset Builder
- Generative Adversarial Networks
- Bringing a Model to Production

Über Autor(innen)

Galeone Paolo:

Paolo Galeone is a computer engineer with strong practical experience. After getting his MSc degree, he joined the Computer Vision Laboratory at the University of Bologna, Italy, as a research fellow, where he improved his computer vision and machine learning knowledge working on a broad range of research topics. Currently, he leads the Computer Vision and Machine Learning laboratory at ZURU Tech, Italy. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences, contributing to open-source projects, and answering questions on Stack Overflow.