Delphi Cookbook - Third Edition: Recipes to master Delphi for IoT integrations, cross-platform, mobile and server-side development Contributor(s): Spinetti, Daniele (Author), Teti, Daniele (Author) |
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ISBN: 1788621301 ISBN-13: 9781788621304 Publisher: Packt Publishing OUR PRICE: $52.24 Product Type: Paperback Published: July 2018 |
Additional Information |
BISAC Categories: - Computers | Programming - Mobile Devices |
Physical Information: 1.34" H x 7.5" W x 9.25" (2.49 lbs) 668 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Uncover the power of artificial neural networks by implementing them through R code. Key Features
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
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 |