Graph Neural Networks For Explainability – alle Bücher

Wir konnten keine exakten Treffer zu Ihrer Suche nach "Graph neural networks for explainability" finden. Könnten diese Produkte zu Ihrer Suche passen?

Graph Neural Networks for Neurological Disorders

This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book ad…

lieferbar innerhalb 2-3 Wochen

Buch

Matthias Karlbauer
Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting

This thesis explores the potential of machine learning methods for improving weather forecasts. Since weather is considered a spatiotemporal process that evolves over space through time, the thesis first …

lieferbar innerhalb 2-3 Wochen

Buch

Graph Convolutional Neural Networks for Computer Vision

Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs.In …

Erscheint bald

Buch

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

lieferbar innerhalb 1-2 Wochen

Buch

Graph Neural Networks: Essentials and Use Cases

Chapter 1 Applications of Graph Neural Networks in Computer Vision: Transforming Perception Through Structure.- Chapter 2 Large-Scale Learnable Graph Convolutional Networks (LGCNs) Graph Neural Networks (…

lieferbar innerhalb 2-3 Wochen

Buch

Kishore Bingi, Venkata Ramana Kasi, Ramadevi Bhukya
Fractional-Order Activation Functions for Neural Networks

This book suggests the development of single and multi-layer fractional-order neural networks that incorporate fractional-order activation functions derived using fractional-order derivatives. Activation …

lieferbar innerhalb 2-3 Wochen

Buch

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networ…

lieferbar innerhalb 2-3 Wochen

Buch

Svetlin Georgiev
Neural Network Methods for Dynamic Equations on Time Scales

This book aims to handle dynamic equations on time scales using artificial neural network (ANN). Basic facts and methods for ANN modeling are considered. The multilayer artificial neural network (ANN) mod…

lieferbar innerhalb 2-3 Wochen

Buch

Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

lieferbar innerhalb 2-3 Wochen

Buch

Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

lieferbar innerhalb 2-3 Wochen

Buch

Informationen zur Lieferbarkeit bzw. zu Veröffentlichungsterminen von Artikeln beruhen auf Vorabinformationen unserer Lieferanten. Diese Termine sind ohne Gewähr und können sich jederzeit ändern.