Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
R Deep Learning Projects: Master the techniques to design and develop neural network models in R


5 real-world projects to help you master deep learning concepts

Key Features

  • Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more
  • Get to grips with R's impressive range of Deep Learning libraries and frameworks such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec
  • Practical projects that show you how to implement different neural networks with helpful tips, tricks, and best practices

Book Description

R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. Deep Learning, as we all know, is one of the trending topics today, and is finding practical applications in a lot of domains.

This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generation, and sentiment analysis. You'll learn how to train effective neural networks in R?including convolutional neural networks, recurrent neural networks, and LSTMs?and apply them in practical scenarios. The book also highlights how neural networks can be trained using GPU capabilities. You will use popular R libraries and packages?such as MXNetR, H2O, deepnet, and more?to implement the projects.

By the end of this book, you will have a better understanding of deep learning concepts and techniques and how to use them in a practical setting.

What you will learn

  • Instrument Deep Learning models with packages such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec
  • Apply neural networks to perform handwritten digit recognition using MXNet
  • Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification
  • Implement credit card fraud detection with Autoencoders
  • Master reconstructing images using variational autoencoders
  • Wade through sentiment analysis from movie reviews
  • Run from past to future and vice versa with bidirectional Long Short-Term Memory (LSTM) networks
  • Understand the applications of Autoencoder Neural Networks in clustering and dimensionality reduction

Who This Book Is For

Machine learning professionals and data scientists looking to master deep learning by implementing practical projects in R will find this book a useful resource. A knowledge of R programming and the basic concepts of deep learning is required to get the best out of this book.

Table of Contents

  1. Handwritten Digit Recognition using Convolutional Neural Networks
  2. Traffic Signs Recognition for Intelligent Vehicles
  3. Fraud Detection with Autoencoders
  4. Text Generation using Recurrent Neural Networks
  5. Sentiment Analysis with Word Embedding
(HTML tags aren't allowed.)

Kivy Cookbook
Kivy Cookbook

Enhance your skills in developing multi-touch applications with Kivy

About This Book

  • Create most diverse apps and learn how to distribute them with the help of the Kivy framework
  • Explore Kivy API to develop user interfaces and control multi-touch events
  • Step-by-step recipes...
Solaris Operating Environment Boot Camp
Solaris Operating Environment Boot Camp
The aim of this book is not to be just another "Guide for System Administrators," but rather a workshop manual that describes the tasks that need to be performed to build a complex network using the standard components delivered with the system.

We present the chapters in the same chronological order that the system administrator...

Linux Networking Cookbook
Linux Networking Cookbook
This soup-to-nuts collection of recipes covers everything you need to know to perform your job as a Linux network administrator, whether you're new to the job or have years of experience. With Linux Networking Cookbook, you'll dive straight into the gnarly hands-on work of building and maintaining a computer network. Running a network doesn't mean...

Practical Web Development
Practical Web Development

Learn CSS, JavaScript, PHP, and more with this vital guide to modern web development

About This Book

  • Explore how the web is built from its foundations – learn everything from basic HTML through to JavaScript, PHP and beyond
  • Discover the latest trends in modern web development and...
Beginning Visual Basic .NET Databases
Beginning Visual Basic .NET Databases
This book is for programmers with some basic experience of Visual Basic .NET, who want to begin
programming database applications.

It might be useful if you have some limited experience of Access, although this is not strictly necessary.
Note that this book is not an introduction to Visual Basic .NET. If you are completely new
Object-Oriented Programming with PHP5
Object-Oriented Programming with PHP5
PHP is one of the most popular scripting languages of the last couple of years. Almost 60% of web servers are running on Apache with PHP. It is so popular that millions of websites and web applications are developed every month using PHP. PHP started its journey as a simple replacement for Perl, and in a few years it became tremendously popular and...
©2021 LearnIT (support@pdfchm.net) - Privacy Policy