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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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Summary

This final chapter briefly covered new exciting topics and opportunities in deep learning. We discussed reinforcement learning, self-supervised algorithms, and System 2 algorithms. We also recommended some further resources from Packt, hoping that you will want to continue your learning and move forward in this field. At this point, you should know where to go from here, and be inspired by the future of deep learning. You should be knowledgeable of other recommended books in the area to continue with your learning journey.

You are the future of deep learning, and the future is today. Go ahead and make things happen.

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Deep Learning for Beginners
Published in: Sep 2020Publisher: PacktISBN-13: 9781838640859
© 2020 Packt Publishing Limited All Rights Reserved

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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