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You're reading from  Statistics for Machine Learning

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295758
Edition1st Edition
Languages
Python
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Statistics
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Pratap Dangeti
Pratap Dangeti
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Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Read more about Pratap Dangeti

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Deep auto encoders

The auto encoder neural network is an unsupervised learning algorithm that applies backpropagation setting the target values to be equal to the inputs y(i) = x(i). Auto encoder tries to learn a function hw,b(x) ≈ x, means it tries to learn an approximation to the identity function, so that output

that is similar to x.

Though trying to replicate the identity function seems trivial function to learn, by placing the constraints on the network, such as by limiting number of hidden units, we can discover interesting structures about the data. Let's say input picture of size 10 x 10 pixels has intensity values which have, altogether, 100 input values, the number of neurons in the second layer (hidden layer) is 50 units, and the output layer, finally, has 100 units of neurons as we need to pass the image to map it to itself and while achieving this representation in the process we would force the network to learn a compressed representation of the input, which is hidden unit...

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Statistics for Machine Learning
Published in: Jul 2017Publisher: PacktISBN-13: 9781788295758
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Read more about Pratap Dangeti

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