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Published inDec 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789538779
Edition1st Edition
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Bharatendra Rai
Bharatendra Rai
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Bharatendra Rai

Bharatendra Rai is a chairperson and professor of business analytics, and the director of the Master of Science in Technology Management program at the Charlton College of Business at UMass Dartmouth. He received a Ph.D. in industrial engineering from Wayne State University, Detroit. He received a master's in quality, reliability, and OR from Indian Statistical Institute, India. His current research interests include machine learning and deep learning applications. His deep learning lecture videos on YouTube are watched in over 198 countries. He has over 20 years of consulting and training experience in industries such as software, automotive, electronics, food, chemicals, and so on, in the areas of data science, machine learning, and supply chain management.
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Dimension reduction autoencoders

In this section, we will use fashion-MNIST data, specify the autoencoder model architecture, compile the model, fit the model, and then reconstruct the images. Note that fashion-MNIST is part of the Keras library.

MNIST fashion data

We will continue to use the Keras and EBImage libraries. The code for reading the fashion-MNIST data is as follows:

# Libraries
library
(keras) library(EBImage)

# Fashion-MNIST data
mnist <- dataset_fashion_mnist()
str(mnist)
List of 2
$ train:List of 2
..$ x: int [1:60000, 1:28, 1:28] 0 0 0 0 0 0 0 0 0 0 ...
..$ y: int [1:60000(1d)] 9 0 0 3 0 2 7 2 5 5 ...
$ test :List of 2
..$ x: int [1:10000, 1:28, 1:28] 0 0 0 0 0 0 0 0 0 0 ...
..$ y: int [1:10000(1d)] 9 2...
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Advanced Deep Learning with R
Published in: Dec 2019Publisher: PacktISBN-13: 9781789538779

Author (1)

author image
Bharatendra Rai

Bharatendra Rai is a chairperson and professor of business analytics, and the director of the Master of Science in Technology Management program at the Charlton College of Business at UMass Dartmouth. He received a Ph.D. in industrial engineering from Wayne State University, Detroit. He received a master's in quality, reliability, and OR from Indian Statistical Institute, India. His current research interests include machine learning and deep learning applications. His deep learning lecture videos on YouTube are watched in over 198 countries. He has over 20 years of consulting and training experience in industries such as software, automotive, electronics, food, chemicals, and so on, in the areas of data science, machine learning, and supply chain management.
Read more about Bharatendra Rai