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

Author (1)

Dr. Pablo Rivas

Questions and answers

Can a perceptron and/or a neural network solve the problem of classifying data that is linearly separable?

Yes, both can.

Can a perceptron and/or a neural network solve the problem of classifying data that is non-separable?

Yes, both can. However, the perceptron will go on forever unless we specify a stopping condition such as a maximum number of iterations (updates), or stopping if the number of misclassified points does not decrease after a number of iterations.

What are the changes in the ML filed that have enabled us to have deep learning today?

(A) backpropagation algorithms, batch training, ReLUs, and so on;

(B) computing power, GPUs, cloud, and so on.

Why is generalization a good thing?

Because deep neural networks are most useful when they can function as expected when they are given data that they have not seen before, that is, data on which they have not been trained.

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Author (1)

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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