Ergebnisse für: Tensor-Flow
Hier findest Du Bücher, die sich mit Tensor-Flow beschäftigen.
The energy momentum tensor (EMT) is one of the most fundamental observables in physics. Recently, a novel method to define EMT on the basis of the gradient-flow formalism has been proposed. It turned out that the EMT operator can be constructed even on the lattice with the method, which enables non-...
This book covers different, current research directions in the context of variational methods for non-linear geometric data. Each chapter is authored by leading experts in the respective discipline and provides an introduction, an overview and a description of the current state of the art.
Non-line...
The main purpose of this book is to present emerging neuroimaging data in order to define the role of primary and secondary structural and hemodynamic disturbances in different phases of traumatic brain injury (TBI) and to analyze the potential of diffusion tensor MRI, tractography and CT perfusion ...
This book provides state-of-the-art results and theories in homogeneous turbulence, including anisotropy and compressibility effects with extension to quantum turbulence, magneto-hydodynamic turbulence  and turbulence in non-newtonian fluids. Each chapter is devoted to a given type of interacti...
Geniale Ideen einfach erklärt: der verständliche Einstieg in die KI-WeltNeuronale Netze sind die Technologie hinter Deep Learning, Machine Learning und generativer Künstlicher Intelligenz wie ChatGPT. Sie revolutionieren derzeit die verschiedensten Anwendungsgebiete vom Strategiespiel bis zur Bil...
Presenting some impressive recent achievements in differential geometry and topology, this volume focuses on results obtained using techniques based on Ricci flow. These ideas are at the core of the study of differentiable manifolds. Several very important open problems and conjectures come from thi...
Presenting some impressive recent achievements in differential geometry and topology, this volume focuses on results obtained using techniques based on Ricci flow. These ideas are at the core of the study of differentiable manifolds. Several very important open problems and conjectures come from thi...
This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to...
The presence of drops, bubbles, and particles affects the behavior and response of complex multiphase fluids. In many applications, these complex fluids have more than one non-Newtonian component, e.g., polymer melts, liquid crystals, and blood plasma. In fact, most fluids exhibit non-Newtonian beha...
This book is primarily intended to enable postgraduate research students to enhance their understanding and expertise in Fluid Mechanics and Magnetohydrodynamics (MHD), subjects no longer treated in isolation. The exercises throughout the book often serve to provide additional and quite significant ...
Diese Python-Einführung konzentriert sich auf das Wesentliche und zeigt Ihnen, wie Sie die Sprache in eigenen Projekten einsetzen. Sie lernen alle Grundlagen kennen: Datenstrukturen und Typen, Programmierlogik, den Umgang mit Modulen, die Vorteile der funktionalen und objektorientierten Programmier...
In this thesis a parallel simulation platform, namely TOUGH2MP-FLAC3Dplus, was further developed by linking the multiphase multicomponent flow code TOUGH2MP and the further developed geomechanical code FLAC3Dplus for large-scale simulation of the coupled THM/C processes related to geo-energy product...
This book covers different, current research directions in the context of variational methods for non-linear geometric data. Each chapter is authored by leading experts in the respective discipline and provides an introduction, an overview and a description of the current state of the art.
Non-line...
Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die genialen Ideen dahinter einfach erklären. Um sie zu verstehen und einzusetzen, programmieren Sie...
This book offers a detailed exploration of the intrinsic geometrical properties of warped product spaces through the lens of mathematical analysis and global differential geometry. It touches upon key topics such as uniqueness results, height estimates, Riemannian immersions, and the geometrical beh...
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Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die genialen Ideen dahinter einfach erklären. Um sie zu verstehen und einzusetzen, programmieren Sie...
This book covers different, current research directions in the context of variational methods for non-linear geometric data. Each chapter is authored by leading experts in the respective discipline and provides an introduction, an overview and a description of the current state of the art.
Non-line...