nach der Bestellung gedruckt Neuware - Printed after ordering - Uncover the power of artificial neural networks by implementing them through R code. Key Features Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the power of neural network models Book Description Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases. By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book. What You Will Learn Set up R packages for neural networks and deep learning Understand the core concepts of artificial neural networks Understand neurons, perceptrons, bias, weights, and activation functions Implement supervised and unsupervised machine learning in R for neural networks Predict and classify data automatically using neural networks Evaluate and fine-tune the models you build. Who This Book Is For This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need!

N� de ref. del art�culo 9781788621304

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Delphi Cookbook - Third Edition : Recipes to master Delphi for IoT integrations, cross-platform, mobile and server-side development
Editor: Packt Publishing
Fecha de publicaci�n: 2018
Idioma: Ingl�s
ISBN 10: 1788621301
ISBN 13: 9781788621304
Encuadernaci�n: Taschenbuch
Edici�n: 3� Edici�n
Estado: Neu

Acerca de

Sinopsis

Uncover the power of artificial neural networks by implementing them through R code.

Key Features

Develop a strong background in neural networks with R, to implement them in your applications
Build smart systems using the power of deep learning
Real-world case studies to illustrate the power of neural network models

Book Description

Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.

This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases.

By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book.

What You Will Learn

Set up R packages for neural networks and deep learning
Understand the core concepts of artificial neural networks
Understand neurons, perceptrons, bias, weights, and activation functions
Implement supervised and unsupervised machine learning in R for neural networks
Predict and classify data automatically using neural networks
Evaluate and fine-tune the models you build.

Who This Book Is For

This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need!

Acerca del autor

Giuseppe Ciaburro; holds a master's degree in chemical engineering from Universit� degli Studi di Napoli Federico II, and a master's degree in acoustic and noise control from Seconda Universit� degli Studi di Napoli. He works at the Built Environment Control Laboratory of Universit� degli Studi della Campania ""Luigi Vanvitelli"". He has over 15 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in Python and R, and he has extensive experience of working with MATLAB. An expert in acoustics and noise control, Giuseppe has wide experience in teaching professional computer courses (about 15 years), dealing with e-learning as an author. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He is currently researching machine learning applications in acoustics and noise control.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Condiciones de venta y env�o

Condiciones de venta

T�rminos y Condiciones Generales e Informaci�n del Cliente / Pol�tica de Privacidad

I. T�rminos y Condiciones Generales

� 1 Disposiciones b�sicas

(1)Los siguientes t�rminos y condiciones se aplican a todos los contratos que celebre con nosotros como proveedor (AHA-BUCH GmbH) a trav�s de las plataformas de Internet AbeBooks y/o ZVAB. A menos que se acuerde lo contrario, se objetar� la inclusi�n de cualquiera de sus propios t�rminos y condiciones utilizados por usted.
(2)Un consumidor en el sentid...

M�s informaci�n

Condiciones de env�o

Enviamos su pedido despu�s de recibirlos
para art�culos disponibles las �ltimas 24 horas,
para art�culos con suministro nocturno a m�s tardar 48 horas.
En caso de que necesitemos pedir un art�culo a nuestro proveedor, nuestro tiempo de env�o depende de la fecha de recepci�n de los art�culos, pero los art�culos se enviar�n el mismo d�a.

Nuestro objetivo es enviar los art�culos pedidos de la manera m�s r�pida, pero tambi�n m�s eficiente y segura a nuestros clientes.

Informaci�n detallada sobre el vendedor