R Deep Learning Cookbook by Dr. PKS Prakash, Achyutuni Sri Krishna Rao
Requirements: Any ePUB Reader, 12.5mb
Overview: Deep Learning is the next big thing. It is a part of machine learning. Its favorable results in application with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians. With the growth in Deep Learning, the inter relation between R and deep learning is growing tremendously as they are very compatible with each other in attaining the various results.
This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with comparison between CPU and GPU performance.
By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems.
Genre: Non-Fiction> Programming > Languages & Tools
What you will learn:
Build deep learning models in different application areas using H20, MXnet.
Analyzing a Deep boltzmann machine
Setting up and Analysing Deep belief networks
Generating a RNN-RBM hybrid model for sequence generation
Building supervised model using various machine learning algorithms
Set up variants of basic convolution function
Represent data using Autoencoders.
Explore generative models available in Deep Learning.
Implement Branching Program Machines for structured or sequential outputs
Discover sequence modeling using Recurrent and Recursive nets
Learn the steps involved in applying Deep Learning in text mining
Train a deep learning model on a GPU
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