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Product typeBook
Published inSep 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838640859
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Deep Learning
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Dr. Pablo Rivas
Dr. Pablo Rivas
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Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas

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Data augmentation

Now that you have learned how to process the data to have specific distributions, it is important for you to know about data augmentation, which is usually associated with missing data or high-dimensional data. Traditional machine learning algorithms may have problems dealing with data where the number of dimensions surpasses the number of samples available. The problem is not particular to all deep learning algorithms, but some algorithms have a much more difficult time learning to model a problem that has more variables to figure out than samples to work on. We have a few options to correct that: either we reduce the dimensions or variables (see the following section) or we increase the samples in our dataset (this section).

One of the tools for adding more data is known as data augmentation (Van Dyk, D. A., and Meng, X. L. (2001)). In this section, we will use the MNIST dataset to exemplify a few techniques for data augmentation that are particular to images but...

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Deep Learning for Beginners
Published in: Sep 2020Publisher: PacktISBN-13: 9781838640859
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Author (1)

author image
Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas

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