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

Pandas TensorFlow

Concepts

Mathematical Programming

Author (1)

Jay Dawani

Section 2: Essential Neural Networks

Having built a sound understanding of the fundamental ideas behind deep learning in the previous section, in this section, you will learn about the key neural networks that are in use today.

This section is comprised of the following chapters:

Chapter 6, Linear Neural Networks
Chapter 7, Feedforward Neural Networks
Chapter 8, Regularization
Chapter 9, Convolutional Neural Networks
Chapter 10, Recurrent Neural Networks

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Hands-On Mathematics for Deep Learning

Published in: Jun 2020Publisher: PacktISBN-13: 9781838647292

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Author (1)

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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