Zaccone / Karim Deep Learning with TensorFlow.

Explore neural networks and build intelligent systems with Python
2. Auflage 2018
ISBN: 978-1-78883-183-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 484 Seiten

No detailed description available for "Deep Learning with TensorFlow.".

Autoren/Hrsg.

Zaccone, Giancarlo

Karim, Md. Rezaul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - Getting Started with Deep Learning
- A First Look at TensorFlow
- Feed-Forward Neural Networks with TensorFlow
- Convolutional Neural Networks
- Optimizing TensorFlow Autoencoders
- Recurrent Neural Networks
- Heterogeneous and Distributed Computing
- Advanced TensorFlow Programming
- Recommendation Systems using Factorization Machines
- Reinforcement Learning

Über Autor(innen)

Zaccone Giancarlo:
Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems. Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing. Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).Karim Md. Rezaul:
Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.