*This is a book on neural networks for non-technical readers.*

**Author**: Alan French

**Publisher:**

**ISBN:** 9887872555

**Category:** Computers

**Page:** 126

**View:** 605

*This is a book on neural networks for non-technical readers.*

**Author**: Alan French

**Publisher:**

**ISBN:** 9887872555

**Category:** Computers

**Page:** 126

**View:** 605

*This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks.*

**Author**: Anthony L. Caterini

**Publisher:** Springer

**ISBN:** 9783319753041

**Category:** Computers

**Page:** 84

**View:** 827

*As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, ...*

**Author**: Kevin Gurney

**Publisher:** CRC Press

**ISBN:** 9781482286991

**Category:** Computers

**Page:** 234

**View:** 893

*This volume consists of chapters written by eminent scientists and engineers from the international community and present significant advances in several theories, methods and applications of an interdisciplinary research.*

**Author**: Panos M. Pardalos

**Publisher:** Springer

**ISBN:** 9781493911240

**Category:** Mathematics

**Page:** 648

**View:** 427

*This volume of research papers comprises the proceedings of the first International Conference on Mathematics of Neural Networks and Applications (MANNA), which was held at Lady Margaret Hall, Oxford from July 3rd to 7th, 1995 and attended ...*

**Author**: Stephen W. Ellacott

**Publisher:** Springer Science & Business Media

**ISBN:** 9781461560999

**Category:** Computers

**Page:** 403

**View:** 611

*Who this book is for: * Beginners who want to fully understand how networks work, and learn to build two step-by-step examples in Python. * Programmers who need an easy to read, but solid refresher, on the math of neural networks.*

**Author**: Michael Taylor

**Publisher:** Independently Published

**ISBN:** 1549869132

**Category:** Computers

**Page:** 250

**View:** 652

*- Tariq Rashid hat eine besondere Fähigkeit, schwierige Konzepte verständlich zu erklären, dadurch werden Neuronale Netze für jeden Interessierten zugänglich und praktisch nachvollziehbar.*

**Author**: Tariq Rashid

**Publisher:**

**ISBN:** 1492064041

**Category:**

**Page:** 232

**View:** 279

*This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory.*

**Author**: Martin Anthony

**Publisher:** SIAM

**ISBN:** 9780898714807

**Category:** Computers

**Page:** 131

**View:** 795

*Thorough, compact, and self-contained, this explanation and analysis of a broad range of neural nets is conveniently structured so that readers can first gain a quick global understanding of neural nets -- without the mathematics -- and can ...*

**Author**: Leo P. J. Veelenturf

**Publisher:**

**ISBN:** UOM:39015034225659

**Category:** Computers

**Page:** 259

**View:** 473

*What goes on inside a neural network?On a high level, a network learns just like we do, through trial and error. This is true regardless if the network is supervised, unsupervised, or semi-supervised.*

**Author**: Michael Taylor

**Publisher:** Independently Published

**ISBN:** 1549893645

**Category:** Computers

**Page:** 168

**View:** 844

*I've made to lucidly explain everything I cover so that there's zero confusion! Download this book today and discover all the intricate details of building your very own Neural Network*

**Author**: Bob Story

**Publisher:** Createspace Independent Publishing Platform

**ISBN:** 1548960292

**Category:**

**Page:** 56

**View:** 699

*Style and Approach This book is designed to give you just the right number of concepts to back up the examples. With real-world use cases and problems solved, this book is a handy guide for you.*

**Author**: Manpreet Singh Ghotra

**Publisher:** Packt Publishing Ltd

**ISBN:** 9781788397759

**Category:** Computers

**Page:** 274

**View:** 760

*The goal of this book is to present the reader with a digestible, readable explanation of neural networks while keeping the underlying concepts intact.*

**Author**: Herbert Jones

**Publisher:** Createspace Independent Publishing Platform

**ISBN:** 1725058510

**Category:**

**Page:** 76

**View:** 875

*This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms.*

**Author**: Jay Dawani

**Publisher:** Packt Publishing Ltd

**ISBN:** 9781838641849

**Category:** Computers

**Page:** 364

**View:** 167

*This book is for anyone who wants to understand what neural network[s] are.*

**Author**: Tariq Rashid

**Publisher:** Createspace Independent Publishing Platform

**ISBN:** 1530826608

**Category:**

**Page:** 222

**View:** 383

*Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.*

**Author**: Ronald T Kneusel

**Publisher:**

**ISBN:** 1718501900

**Category:**

**Page:** 344

**View:** 946

*This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization.*

**Author**: Alexander I. Galushkin

**Publisher:** Springer Science & Business Media

**ISBN:** 9783540481256

**Category:** Mathematics

**Page:** 396

**View:** 109

*This book introduces the deterministic aspects of the mathematical theory behind neural networks in a comprehensive way.*

**Author**: Steve Ellacott

**Publisher:** Coriolis Group

**ISBN:** UOM:39015038575273

**Category:** Computers

**Page:** 387

**View:** 834

*This textbook is intended for a first-year graduate course on Artificial Neural Networks.*

**Author**: Daniel Graupe

**Publisher:** World Scientific

**ISBN:** 9810241259

**Category:** Mathematics

**Page:** 252

**View:** 680