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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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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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Comparing the perceptron and the McCulloch-Pitts neuron

In this section, we will cover two mathematical models of biological neurons—the McCulloch-Pitts (MP) neuron and Rosenblatt's perceptron—which create the foundation for neural networks.

The MP neuron

The MP neuron was created in 1943 by Warren McCulloch and Walter Pitts. It was modeled after the biological neuron and is the first mathematical model of a biological neuron. It was created primarily for classification tasks. The MP neuron takes as input binary values and outputs a binary value based on a threshold value. If the sum of the inputs is greater than the threshold, then the neuron outputs 1 (if it is under the threshold, it outputs 0). In the...

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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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