Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Graph Neural Networks in Action
Angličtina
160 b
Až 30 dní na vrátenie tovaru
Zákazníci tiež kúpili
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.
Informácie o knihe
Angličtina
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
20.09
€
/
Brožovaná
22.71
€
Ahoj! Som Libroamiko, tvoj knižný radca.
Ako ti môžem pomôcť?