R Deep Learning Essentials, 2nd Edition
A Step-By-step Guide to Building Deep Learning Models Using TensorFlow, Keras, and MXNet
|Price||$39.99 - $50.55
|Authors||Mark Hodnett, Joshua F. Wiley|
|Format||Paper book / ebook (PDF)|
Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.
This book will introduce you to the basic principles of deep learning and teach you to build a neural network model from scratch. As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems, including structured data, computer vision, text data, anomaly detection, and recommendation systems. You'll cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud. In the concluding chapters, you will learn about the theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics.
By the end of this book, you will be fully prepared and able to implement deep learning concepts in your research work or projects.Use R 3.5 for building deep learning models for computer vision and text.
by Raymond Camden, Andy Matthews
Price: $26.99 | Publisher: Packt Publishing | Release: 2013
by Hoang Lam, Thuan L. Thai
.NET Framework Essentials, 2nd Edition is an objective, concise, and technical overview of the new Microsoft .NET Framework for developing web applications and services.Specifically written for intermediate to advanced VB, C/C++, Java, and Delphi developers, .NET Framework Essentials, 2nd Edition is also useful to system architects and le...
Price: $3.49 | Publisher: O'Reilly Media | Release: 2002
by Stephen Cummins
Few IT professionals take the time to learn what needs to be known to do disaster recovery well. Most labor under the pretense that good administration equals close to five-nines uptime. Most technical people do not see the value of planning for disasters until the unexpected has already happened, and the effects of a disaster involving a...
Price: $53.11 | Publisher: Apress | Release: 2013
by Darl Kuhn, Charles Kim, Bernard Lopuz
Linux and Solaris Recipes for Oracle DBAs, 2nd Edition is an example-based book on managing Oracle Database under Linux and Solaris. The book is written for database administrators who need to get work done and lack the luxury of curling up fireside with a stack of operating-system documentation. What this book provides instead is task-or...
Price: $46.55 | Publisher: Apress | Release: 2015
by Md. Rezaul Karim
Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts.Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several project...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping y...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
by Nick McClure
TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.With the help of this book, you will work with recipes for training models, model...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
by Apple Computer Inc, James Duncan Davidson
Learning Cocoa with Objective-C is the "must-have" book for people who want to develop applications for Mac OS X, and is the only book approved and reviewed by Apple engineers. Based on the Jaguar release of Mac OS X 10.2, this edition of Learning Cocoa includes examples that use the Address Book and Universal Access API...
Price: $3.50 | Publisher: O'Reilly Media | Release: 2002