Machine Learning with Neural Networks

Machine Learning with Neural Networks
Author :
Publisher : Cambridge University Press
Total Pages : 262
Release :
ISBN-10 : 9781108849562
ISBN-13 : 1108849563
Rating : 4/5 (563 Downloads)

Book Synopsis Machine Learning with Neural Networks by : Bernhard Mehlig

Download or read book Machine Learning with Neural Networks written by Bernhard Mehlig and published by Cambridge University Press. This book was released on 2021-10-28 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.


Machine Learning with Neural Networks Related Books

Machine Learning with Neural Networks
Language: en
Pages: 262
Authors: Bernhard Mehlig
Categories: Science
Type: BOOK - Published: 2021-10-28 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to d
Neural Networks and Deep Learning
Language: en
Pages: 512
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2018-08-25 - Publisher: Springer

DOWNLOAD EBOOK

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm
Neural Networks and Statistical Learning
Language: en
Pages: 996
Authors: Ke-Lin Du
Categories: Mathematics
Type: BOOK - Published: 2019-09-12 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for st
MATLAB Deep Learning
Language: en
Pages: 162
Authors: Phil Kim
Categories: Computers
Type: BOOK - Published: 2017-06-15 - Publisher: Apress

DOWNLOAD EBOOK

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural n
Make Your Own Neural Network
Language: en
Pages: 0
Authors: Tariq Rashid
Categories: Application software
Type: BOOK - Published: 2016 - Publisher: Createspace Independent Publishing Platform

DOWNLOAD EBOOK

This book is for anyone who wants to understand what neural network[s] are. It's for anyone who wants to make and use their own. And it's for anyone who wants t