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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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Understanding neural Turing machines

The Turing machine (TM) was proposed by Alan Turing in 1936, and it is a mathematical model of computation made up of an infinitely long tape and a head that interacts with the tape by reading, editing, and moving symbols on it. It works by manipulating symbols on the strip according to a predefined set of rules. The tape is made up of an endless number of cells, each of which can contain one of three symbols – 0, 1, or blank (" "). Therefore, this is referred to as a three-symbol Turing machine. Regardless of how simple it seems, it is capable of simulating any computer algorithm, regardless of complexity. The tape that these computations are done on can be considered to be the machine's memory, akin to how our modern-day computers have memory. However, the Turing machine differs from modern-day computers as it has limited...

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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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