Kontakt
Jak nakupovat
Doručení
Nákupní rádce
Graph Neural Networks in Action
Angličtina
156 b
Až 30 dní na vrácení zboží
Zákazníci také koupili
A hands-on guide to powerful graph-based deep learning models!
Graph Neural Networks in Action is a great guide about how to build cutting-edge graph neural networks and powerful deep learning models for recommendation engines, molecular modeling, and more. You will learn how to both design and train your models, and how to develop them into practical applications you can deploy to production.
Ideal for Python programmers, you will also explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code.
The main features include:
- Train and deploy a graph neural network
- Generate node embeddings
- Use GNNs at scale for very large datasets
- Build a graph data pipeline
- Create a graph data schema
- Understand the taxonomy of GNNs
- Manipulate graph data with NetworkX
Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification.
About the technology
Graph neural networks expand the capabilities of deep learning beyond traditional tabular data, text, and images. This exciting new approach brings the amazing capabilities of deep learning to graph data structures, opening up new possibilities for everything – from recommendation engines to pharmaceutical research.
Informace o knize
Angličtina
Darujte tuto knihu ještě dnes
Je to snadné
1 Přidejte knihu do košíku a zvolte doručit jako dárek 2 Obratem vám zašleme poukaz 3 Kniha dorazí na adresu obdarovanéhoMohlo by vás také zajímat
/
Brožovaná
521
Kč
/
Brožovaná
1 407
Kč
Ahoj! Jsem Libroamiko, tvůj knižní rádce.
Jak ti můžu pomoct?