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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
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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.
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Understanding the basic concepts and terminology

Graph theory was first introduced in the 18th century by Leonhard Euler to solve a famous problem known as the Königsberg bridge problem, which asks whether it is possible to walk around the Königsberg bridge while crossing over each of the seven bridges exactly once. The bridge looks as follows:

Before we move on, try it out for yourself by using your finger to trace along the path or draw it and trace it with a pencil. Did you manage to find a solution? It's alright if you didn't!

Let's stop for a moment and ask ourselves what exactly a graph is. A graph (G) is a mathematical structure made up of two sets—vertices (V(G)) and edges (E(G)). Two vertices (v1 and v2) are connected if there is an edge (e or (v1, v2)) between them. Now that that's settled, there are some rules associated with graphs...

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Hands-On Mathematics for Deep Learning
Published in: Jun 2020Publisher: PacktISBN-13: 9781838647292

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