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 3: Advanced Deep Learning Concepts Simplified

Having built a sound understanding of the fundamental ideas behind deep learning in the previous section, in this section, you will learn about a variety of deep learning networks; namely, networks that are used to process images, text, and sequences, as well as to generate items.

This section is comprised of the following chapters:

Chapter 11, Attention Mechanisms
Chapter 12, Generative Models
Chapter 13, Transfer and Meta Learning
Chapter 14, Geometric Deep Learning

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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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