Tensor Networks Methods – Bücher zum Thema Tensor Networks Methods finden und kaufen

Buch Cover Introduction to Tensor Network Methods

Springer International Publishing
96.29 € · Hardcover

Tensor Networks Methods Quantum Many-body Physics Density-Matrix Renormalisation Group (DMRG) Quantum-Inspired Machine Learning Quantum Computing, Simulation, Emulation Quantum Information and Computational Science

This second edition of the textbook Introduction to Tensor Network Methods contains more advanced and technical parts as new topics related to tensor network algorithms that have been developed in the last few years. The reader finds new chapters dedicated to tree tensor networks for high-dimensiona...

Computational Methods for Deep Learning

Wei Qi Yan
Springer Singapore
96.29 € · Hardcover

Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...

Computational Methods for Deep Learning

Wei Qi Yan
Springer International Publishing
64.19 € · Hardcover

Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...

Mathematical Methods in Image Processing and Inverse Problems

Springer Singapore
192.59 € · Hardcover

Low-Rank Matrix Reconstruction Non-Convex Methods Image Selective Segmentation Models Variational Inpainting Models Traveltime Tomography Gravimetry Emission Tomography Compressive Sensing Convolutional Linear Networks LpCM Variational Shape Decomposition Robust Tensor Completion Defocus Lattice-based Patterned Fabric Inspection

This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21–24, 2018. The book was...

Multiscale, Nonlinear and Adaptive Approximation II

Springer International Publishing
171.19 € · Hardcover

multiscale, wavelet and reduced basis methods nonlinear approximation theory adaptive numerical schemes for PDE with parameters or randomness nonlinear, sparse or adaptive approximation learning theory theory on deep learning high-dimensional integrals tensor networks electron microscopy

This book presents a collection of high-quality papers in applied and numerical mathematics, as well as approximation theory, all closely related to Wolfgang Dahmen’s scientific contributions. Compiled in honor of his 75th birthday, the papers are written by leading experts and cover topics includ...

Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Springer International Publishing
213.99 € · Hardcover

3D Object Reconstruction Application of Tensor Train Neural Networks Control and Monitoring of Operator Performance Recurrent Analysis of EEG Patterns Fatigue Control Models Attention Recognition Algorithms for Eye Detection Autonomous Agent in Economy Analysis of Avoidance Behavior Grasping Control Neural Networks for Video Surveillance System Convolutional Recurrent Spiking Neural Networks Deep Learning for Image Recognition Facial Expression Recognition Automated Species Identification

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neura...

Introduction to Tensor Network Methods

Springer International Publishing
96.29 € · eBook

Tensor Networks Methods Quantum Many-body Physics Density-Matrix Renormalisation Group (DMRG) Quantum-Inspired Machine Learning Quantum Computing, Simulation, Emulation Quantum Information and Computational Science

This second edition of the textbook Introduction to Tensor Network Methods contains more advanced and technical parts as new topics related to tensor network algorithms that have been developed in the last few years. The reader finds new chapters dedicated to tree tensor networks for high-dimensiona...

Computational Methods for Deep Learning

Wei Qi Yan
Springer International Publishing
64.19 € · eBook

Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...

Computational Methods for Deep Learning

Wei Qi Yan
Springer Singapore
96.29 € · eBook

Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...

Computational Methods for Deep Learning

Wei Qi Yan
Springer International Publishing
64.19 € · Paperback

Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...