Gulli / Pal Deep Learning with Keras

Implementing deep learning models and neural networks with the power of Python
1. Auflage 2017
ISBN: 978-1-78712-903-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 318 Seiten

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

Autoren/Hrsg.

Gulli, Antonio

Pal, Sujit

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Neural Networks Foundations
- Keras Installation and API
- Deep Learning with ConvNets

- Generative Adverserial Networks and Wavenet
- Word Embeddings
- Recurrent Neural Network — RNN
- Additional Deep Learning models
- AI Game Playing
- Conclusion

Über Autor(innen)

Gulli Antonio:

Antonio Gulli has a passion for establishing and managing global technological talent for innovation and execution. His core expertise is in cloud computing, deep learning, and search engines. Currently, Antonio works for Google in the Cloud Office of the CTO in Zurich, working on Search, Cloud Infra, Sovereignty, and Conversational AI.Pal Sujit:

Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora.