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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 introductory chapter showed how to set up the necessary libraries to run TensorFlow, Keras, and Dopamine. Hopefully, you will use Colabs to make things easier for you to learn. You also learned the basic mindset and design concept behind these frameworks. Although such frameworks are the most popular at the time of writing this book, there are other competitors out there, which we also introduced briefly.

At this point, you are all set to begin the journey to mastering deep learning. Our first milestone is to know how to prepare data for deep learning applications. This item is crucial for the success of the model. No matter how good the models are and how deep they are, if the data is not properly formatted or treated, it can lead to catastrophic performance results. For that reason, we will now go to Chapter 3, Preparing Data. In that chapter, you will learn how to take a dataset and prepare it for the specific task you are trying to solve with a specific type of deep...

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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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