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R Deep Learning Cookbook

You're reading from R Deep Learning Cookbook Solve complex neural net problems with TensorFlow, H2O and MXNet

Product type Paperback

Published in Aug 2017

Publisher Packt

ISBN-13 9781787121089

Length 288 pages

Edition 1st Edition

Languages

R

Tools

H2O

Concepts

Deep Learning

Authors (2):

Achyutuni Sri Krishna Rao

PKS Prakash

View More author details

Table of Contents (11) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Deep Learning with R

3. Convolution Neural Network

4. Data Representation Using Autoencoders

5. Generative Models in Deep Learning

6. Recurrent Neural Networks

7. Reinforcement Learning

8. Application of Deep Learning in Text Mining

9. Application of Deep Learning to Signal processing

10. Transfer Learning

Understanding the contrastive divergence of the reconstruction

As an initial start, the objective function can be defined as the minimization of the average negative log-likelihood of reconstructing the visible vector v where P(v) denotes the vector of generated probabilities:

Getting ready

This section provides the requirements for image reconstruction using the input probability vector.

mnist data is loaded in the environment
The images are reconstructed using the recipe Backward or reconstruction phase

How to do it...

This current recipe present the steps for, a contrastive divergence (CD) technique used to speed up the sampling process:

Compute a positive weight gradient by multiplying (outer product) the input vector X with a sample of the hidden vector h0 from the given probability distribution prob_h0:

w_pos_grad = tf$matmul(tf$transpose(X), h0)

Compute a negative weight gradient by multiplying (outer product) the sample of the reconstructed input data v1 with the updated hidden activation...

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Authors (2)

PKS Prakash

PKS Prakash

Dr. PKS Prakash is a data scientist and author. He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT.

See other products by PKS Prakash

Sri Krishna Rao

Sri Krishna Rao

Achyutuni Sri Krishna Rao is a Data Scientist, a Civil Engineer and an Author. He has spent last 4 years in developing many data science solutions to solve problems from leading companies in healthcare, pharmaceutical and manufacturing domain. He is working as Data Science Consultant at ZS Associates. Sri Krishnas background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelors from National Institute of Technology Warangal, India. Sri Krishna has published widely in research areas of civil engineering. He has contributed in a book titled Algorithms and Data Structures using R published by PACKT.

See other products by Sri Krishna Rao

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