Regularization Networks – Bücher zum Thema Regularization Networks finden und kaufen

Benyamin Ghojogh, Ali Ghodsi
Springer International Publishing
117.69 € · Hardcover

Meta-learning Neural networks Deep Reinforcement Learning Generative models Sequence modeling Deep learning artificial neural networks deep neural networks machine learning artificial intelligence computational intelligence data science pattern recognition backpropagation feedforward neural networks

This textbook offers a comprehensive introduction to deep learning and neural networks, integrating core foundations with the latest advances. It begins with essential machine learning concepts and classic neural network architectures before progressing through convolutional models, backpropagation,...

An Introduction to Statistical Data Science

Giorgio Picci
Springer International Publishing
139.09 € · Hardcover

Statistical Inference Statistical Methods for Data Science Statistical Learning Model Identification Regularization Bayesian Inference Principal Component Analysis Neural Networks Time Series Analysis Linear Models Machine Learning Statistical Machine Learning Data Science Mathematical Model Statistical Model

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aimed at young scientists, and motivated by their scientific prospects, it provides first principle ...

Data-driven Models in Inverse Problems

De Gruyter
194.95 € · Hardcover

Tiefe Neuronale Netze Regularisierung inverser Probleme Computergestützte Bildgebung Numerische Methoden für inverse Probleme Signalverarbeitung Deep neural networks Regularization of inverse problems Computerized imaging Numerical methods for inverse problems Signal processing

Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the in...

Topological Data Analysis for Neural Networks

Rubén Ballester, Carles Casacuberta, Sergio Escalera
Springer International Publishing
53.49 € · eBook

Topological Data Analysis Topological Machine Learning Persistent Homology Mapper Algorithm Artificial Intelligence Deep Learning Feedforward Neural Networks Convolutional Neural Networks Generative Models Neural Network Dynamics Loss Functions Generalization Gap Regularization Adversarial Attacks

This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully ...

Topological Data Analysis for Neural Networks

Rubén Ballester, Carles Casacuberta, Sergio Escalera
Springer International Publishing
53.49 € · Paperback

Topological Data Analysis Topological Machine Learning Persistent Homology Mapper Algorithm Artificial Intelligence Deep Learning Feedforward Neural Networks Convolutional Neural Networks Generative Models Neural Network Dynamics Loss Functions Generalization Gap Regularization Adversarial Attacks

This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully ...

Applied Deep Learning

Umberto Michelucci
APRESS
64.19 € · Paperback

Deep Learning TensorFlow Skilearn Regularization Dropout Convolutional Neural Networks Recursive Neural Networks Neuron Activation Functions Python

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single ...

Applied Deep Learning

Umberto Michelucci
APRESS
66.99 € · eBook

Deep Learning TensorFlow Skilearn Regularization Dropout Convolutional Neural Networks Recursive Neural Networks Neuron Activation Functions Python

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single ...

Intelligent Imaging and Analysis

MDPI
101.25 € · Paperback

image inspection non-referential method feature extraction fault pattern learning weighted kernel density estimation (WKDE) rail surface defect UAV image defect detection gray stretch maximum entropy image enhancement defect segmentation semi-automatic segmentation MR spine image vertebral body graph-based segmentation

Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artifici...

Scale Space and Variational Methods in Computer Vision

Springer International Publishing
53.49 € · Paperback

artificial intelligence computer vision estimation image coding image compression image processing image reconstruction image registration image segmentation inverse problems motion estimation neural networks numerical experiments numerical methods optical flows

This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They...

Statistical Learning and Data Sciences

Springer International Publishing
53.49 € · eBook

artificial neural networks big data classification computational complexity conformal predictors data analysis data mining data sciences evolving system genetic programming information security machine learning model selection optimization particle swarm optimization

This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submission...

An Introduction to Statistical Data Science

Giorgio Picci
Springer International Publishing
139.09 € · eBook

Statistical Inference Statistical Methods for Data Science Statistical Learning Model Identification Regularization Bayesian Inference Principal Component Analysis Neural Networks Time Series Analysis Linear Models Machine Learning Statistical Machine Learning Data Science Mathematical Model Statistical Model

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aimed at young scientists, and motivated by their scientific prospects, it provides first principle ...

Deep Learning with R

Abhijit Ghatak
Springer Singapore
106.99 € · eBook

Artificial Intelligence Statistics Deep neural networks Regularization and hyper-parameter tuning Convolutional neural networks and sequence models

 Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer lea...

Remote Sensing based Building Extraction

MDPI
92.49 € · Paperback

roof segmentation outline extraction convolutional neural network boundary regulated network very high resolution imagery building boundary extraction convolutional neural network active contour model high resolution optical images LiDAR richer convolution features building edges detection high spatial resolution remote sensing imagery building modelling

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic...

Progress in Artificial Intelligence and Pattern Recognition

Springer International Publishing
85.59 € · Paperback

Computer Science Artificial Intelligence Pattern Recognition Natural Language Processing Deep Learning Image and Video Processing Neural Networks Supervised Learning Unsupervised Learning Optimization Instance-based learning Fuzzy process Rule-based learning Biometric Regularization

This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023.  The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submission...

An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces

Sergei Pereverzyev
Springer International Publishing
48.14 € · eBook

Reproducing kernel Hilbert spaces RKHS RKHS artificial intelligence RKHS deep learning RKHS deep neural networks RKHS examples RKHS statistical learning RKHS integral operators Regularization theory Linear regularization Tikhonov Learning theory Regression learning Ranking learning Unsupervised domain adaptation Reinforcement learning

This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernel Hilbert Spaces (RKHS), accompanied with t...

Fundamentals of Supervised Machine Learning

Giovanni Cerulli
Springer International Publishing
90.94 € · eBook

Supervised Machine Learning Python Stata R Software Machine Learning Applications in the Social Sciences Machine Learnig Applications in Medicine and Epidemiology Model Selection Regularization Classification Nonparametric Fitting Trees Support Vector Machines Artificial Neural Networks Discriminant Analysis Nearest Neighbors

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods o...

Elements of Deep Learning

Benyamin Ghojogh, Ali Ghodsi
Springer International Publishing
117.69 € · eBook

Meta-learning Neural networks Deep Reinforcement Learning Generative models Sequence modeling Deep learning artificial neural networks deep neural networks machine learning artificial intelligence computational intelligence data science pattern recognition backpropagation feedforward neural networks

This textbook offers a comprehensive introduction to deep learning and neural networks, integrating core foundations with the latest advances. It begins with essential machine learning concepts and classic neural network architectures before progressing through convolutional models, backpropagation,...

Deep Learning with R

Abhijit Ghatak
Springer Singapore
90.94 € · Paperback

Artificial Intelligence Convolutional neural networks and sequence models Deep neural networks Regularization and hyper-parameter tuning Statistics

 Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer lea...

Fundamentals of Supervised Machine Learning

Giovanni Cerulli
Springer International Publishing
90.94 € · Paperback

Supervised Machine Learning Python Stata R Software Machine Learning Applications in the Social Sciences Machine Learnig Applications in Medicine and Epidemiology Model Selection Regularization Classification Nonparametric Fitting Trees Support Vector Machines Artificial Neural Networks Discriminant Analysis Nearest Neighbors

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods o...

Regularized System Identification

Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Springer International Publishing
42.79 € · Paperback

System Identification Linear Dynamical Systems Nonlinear Dynamical Systems Kernel-based Regularization Bayesian Interpretation of Regularization Gaussian Processes Reproducing Kernel Hilbert Spaces Estimation Theory Support Vector Machines Regularization Networks Open Access

This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learn...

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