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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

Creating the second fully connected layer with dropout

In this recipe, let's create the second fully connected layer along with dropout.

Getting ready

The following are the inputs to the function defined in the recipe Using functions to flatten the densely connected layer, create_fc_layer:

Input: This is the output of the first fully connected layer; that is, layer_fc1
Num_inputs: This is the number of features in the output of the first fully connected layer, fc_size
Num_outputs: This is the number of the fully connected neurons output (equal to the number of labels, num_classes )
Use_relu: This is the binary flag set to FALSE

How to do it...

Run the create_fc_layer function with the preceding input parameters:

layer_fc2 = create_fc_layer(input=layer_fc1_drop,
num_inputs=fc_size,
num_outputs=num_classes,
use_relu=FALSE)

Use TensorFlow's dropout function to handle the scaling and masking of neuron outputs:

layer_fc2_drop <- tf$nn$dropout(layer_fc2, keep_prob)

How it works...

In step 1, we create a...

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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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