Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

English | October 11th, 2017 | ASIN: B0748NMHYL, ISBN: 1788397878 | 265 Pages | EPUB | 13.51 MB

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!

About This Book
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

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.

In Detail
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.

Download:

http://longfiles.com/i4mrvkb34vj6/Neural_Networks_with_R_Smart_models_using_CNN,_RNN,_deep_learning,_and_artificial_intelligence_principles.epub.html

[Fast Download] Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles


Ebooks related to "Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles" :
Creative Investigations in Early Math
Schaum's Outline of Linear Algebra, 6th Edition
5 Steps to a 5: AP U.S. Government & Politics 2018, 9th Edition
FinnishED Leadership: Four Big, Inexpensive Ideas to Transform Education
Cracking the AP Chemistry Exam, 2018 Edition: Proven Techniques to Help You Score a 5
The American Academy of Pediatrics New Mother's Guide to Breastfeeding, 3rd Edition
Paolo Legrenzi, Armando Massarenti, La buona logica. Imparare a pensare
Hand Lettering A to Z: A World of Creative Ideas for Drawing and Designing Alphabets
Dealing with Conceptualisations of Learning: Learning between Means and Aims in Theory and Practice
Leading Schools During Crisis: What School Administrators Must Know
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.