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You're reading from  Hands-On Mathematics for Deep Learning

Product typeBook
Published inJun 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838647292
Edition1st Edition
Languages
Python
Tools
PandasTensorFlow
Concepts
Mathematical Programming
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Author (1)
Jay Dawani
Jay Dawani
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Jay Dawani

Jay Dawani is a former professional swimmer turned mathematician and computer scientist. He is also a Forbes 30 Under 30 Fellow. At present, he is the Director of Artificial Intelligence at Geometric Energy Corporation (NATO CAGE) and the CEO of Lemurian Labs - a startup he founded that is developing the next generation of autonomy, intelligent process automation, and driver intelligence. Previously he has also been the technology and R&D advisor to Spacebit Capital. He has spent the last three years researching at the frontiers of AI with a focus on reinforcement learning, open-ended learning, deep learning, quantum machine learning, human-machine interaction, multi-agent and complex systems, and artificial general intelligence.
Read more about Jay Dawani

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Types of graphs

In the previous section, we learned about the basics of graph theory, and as you saw, this is a very powerful mathematical tool that can be used for a plethora of tasks in various fields. However, there is no one-size-fits-all solution and so we need additional tools to help us because each problem is unique. In this section, we will learn about the various types of graphs and their use cases and strengths. This includes weighted graphs, directed graphs, multilayer graphs, dynamic graphs, and tree graphs.

Weighted graphs

So far, we have seen graphs that have a sort of binary representation, where 1 represents the existence of an edge between two nodes and 0 signifies that there is no connection between two...

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Hands-On Mathematics for Deep Learning
Published in: Jun 2020Publisher: PacktISBN-13: 9781838647292
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jay Dawani

Jay Dawani is a former professional swimmer turned mathematician and computer scientist. He is also a Forbes 30 Under 30 Fellow. At present, he is the Director of Artificial Intelligence at Geometric Energy Corporation (NATO CAGE) and the CEO of Lemurian Labs - a startup he founded that is developing the next generation of autonomy, intelligent process automation, and driver intelligence. Previously he has also been the technology and R&D advisor to Spacebit Capital. He has spent the last three years researching at the frontiers of AI with a focus on reinforcement learning, open-ended learning, deep learning, quantum machine learning, human-machine interaction, multi-agent and complex systems, and artificial general intelligence.
Read more about Jay Dawani

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