geometric deep learning – Bücher zum Thema geometric deep learning finden und kaufen

Jong Chul Ye
Springer Singapore
74.89 € · Hardcover

Deep learning Mathematical principle of deep learning Geometric understanding of deep neural network Review of state-of-the art deep learning methods Optimal transport

The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is...

Novel Deep Learning Methodologies in Industrial and Applied Mathematics

Springer Singapore
171.19 € · Hardcover

Articicial intelligence Lifecycle management in Industry 5.0 Cloud-to-edge cotinuum Internet of Things Geometric deep learning Geometric algebra transformers Explainable Artificial Intelligence Clifford geometric algebra Quoternion monogenic convolutional neural network Adversarial attacks Data privacy Distributed edge-computing Model partitioning and model early exit Wind turbines' main bearing fault prognosis Research opportunities

This book presents a collection of research papers exploring innovative applications of Artificial Intelligence (AI) in Industrial and Applied Mathematics (IAM). It begins with an introduction to the knowlEdge Platform, a software solution for managing the AI lifecycle in Industry 5.0, integrating A...

Geometric Structures of Information

Springer International Publishing
160.49 € · Hardcover

Hessian Information Geometry Shape Space Monotone Embedding Stochastic Geometric Mechanics Riemannian Manifolds Geometric Deep Learning Lie Group Thermodynamics Probability Density Estimation Geometry of quantum states GSI’2017

This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical dom...

Geometry of Deep Learning

Jong Chul Ye
Springer Singapore
58.84 € · eBook

Deep learning Mathematical principle of deep learning Geometric understanding of deep neural network Review of state-of-the art deep learning methods Optimal transport

The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is...

Geometry of Deep Learning

Jong Chul Ye
Springer Singapore
58.84 € · Paperback

Deep learning Mathematical principle of deep learning Geometric understanding of deep neural network Review of state-of-the art deep learning methods Optimal transport

The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is...

PDEs, Control and Deep Learning

Alberto Bressan, Leon Bungert, Alfio Quarteroni, Guido De Philippis
Springer International Publishing
69.54 € · eBook

PDEs Control Deep Learning Geometric Oprimization Geometric measure theory

This volume includes lectures presented at the CIME School on “PDEs, Control and Deep Learning”, held in Cetraro (Italy) from July 22 to 26, 2024. It provides a comprehensive and up-to-date view of the diverse and rapidly evolving field of nonlinear partial differential equations (PDEs), with an...

PDEs, Control and Deep Learning

Alberto Bressan, Leon Bungert, Alfio Quarteroni, Guido De Philippis
Springer International Publishing
69.54 € · Paperback

PDEs Control Deep Learning Geometric Oprimization Geometric measure theory

This volume includes lectures presented at the CIME School on “PDEs, Control and Deep Learning”, held in Cetraro (Italy) from July 22 to 26, 2024. It provides a comprehensive and up-to-date view of the diverse and rapidly evolving field of nonlinear partial differential equations (PDEs), with an...

Novel Deep Learning Methodologies in Industrial and Applied Mathematics

Springer Singapore
171.19 € · eBook

Articicial intelligence Lifecycle management in Industry 5.0 Cloud-to-edge cotinuum Internet of Things Geometric deep learning Geometric algebra transformers Explainable Artificial Intelligence Clifford geometric algebra Quoternion monogenic convolutional neural network Adversarial attacks Data privacy Distributed edge-computing Model partitioning and model early exit Wind turbines' main bearing fault prognosis Research opportunities

This book presents a collection of research papers exploring innovative applications of Artificial Intelligence (AI) in Industrial and Applied Mathematics (IAM). It begins with an introduction to the knowlEdge Platform, a software solution for managing the AI lifecycle in Industry 5.0, integrating A...

Deep Learning Applications with Practical Measured Results in Electronics Industries

MDPI
66.49 € · Paperback

computational intelligence offshore wind forecasting machine learning neural networks neuro-fuzzy systems humidity sensor data fusion nonlinear optimization multiple linear regression GSA-BP geometric errors correction kinematic modelling lateral stage errors Imaging Confocal Microscope

This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial ...

Geometric Science of Information

Springer International Publishing
106.99 € · Paperback

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover a...

Geometric Science of Information

Springer International Publishing
87.73 € · Paperback

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information ...

Geometric Science of Information

Springer International Publishing
79.17 € · Paperback

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information ...

Geometric Science of Information

Springer International Publishing
78.1 € · eBook

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information ...

Geometric Science of Information

Springer International Publishing
78.1 € · eBook

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information ...

Geometric Science of Information

Springer International Publishing
96.29 € · Paperback

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover a...

Geometric Science of Information

Springer International Publishing
96.29 € · eBook

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover a...

Geometric Science of Information

Springer International Publishing
85.59 € · eBook

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information ...

Geometric Science of Information

Springer International Publishing
79.17 € · Paperback

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information ...

Geometric Structures of Information

Springer International Publishing
149.79 € · eBook

Hessian Information Geometry Shape Space Monotone Embedding Stochastic Geometric Mechanics Riemannian Manifolds Geometric Deep Learning Lie Group Thermodynamics Probability Density Estimation Geometry of quantum states GSI’2017

This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical dom...

Geometric Science of Information

Springer International Publishing
96.29 € · eBook

Information theory Information geometry Thermodynamics Machine learning Riemannian geometry Lie group Quantum theory Shape space Geometric mechanics Deep learning Optimal transport

This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover a...

Ergebnisse für: geometric deep learning

Hier findest Du Bücher, die sich mit geometric deep learning beschäftigen.