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You're reading from  Deep Learning for Beginners

Product typeBook
Published inSep 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838640859
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Deep Learning
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Author (1)
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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Questions and answers

  1. What is the relationship between the separability of the data and the number of iterations of the PLA?

The number of iterations can grow exponentially as the data groups get close to one another.

  1. Will the PLA always converge?

Not always, only for linearly separable data.

  1. Can the PLA converge on non-linearly separable data?

No. However, you can find an acceptable solution by modifying it with the pocket algorithm, for example.

  1. Why is the perceptron important?

Because it is one of the most fundamental learning strategies that has helped conceive the possibility of learning. Without the perceptron, it could have taken longer for the scientific community to realize the potential of computer-based automatic learning algorithms.

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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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