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You're reading from  Deep Learning with MXNet Cookbook

Product typeBook
Published inDec 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781800569607
Edition1st Edition
Languages
Python
Tools
MXNet
Concepts
Machine Learning
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Author (1)
Andrés P. Torres
Andrés P. Torres
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Andrés P. Torres

Andrés P. Torres, is the Head of Perception at Oxa, a global leader in industrial autonomous vehicles, leading the design and development of State-Of The-Art algorithms for autonomous driving. Before, Andrés had a stint as an advisor and Head of AI at an early-stage content generation startup, Maekersuite, where he developed several AI-based algorithms for mobile phones and the web. Prior to this, Andrés was a Software Development Manager at Amazon Prime Air, developing software to optimize operations for autonomous drones.
Read more about Andrés P. Torres

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Who is this book for?

This book is ideal for Data Scientists, Machine Learning Engineers, and Developers who want to work with Apache MXNet for building fast, scalable deep learning solutions. The reader is expected to have a good understanding of Python programming and a working environment with Python 3.7+. A good theoretical understanding of mathematics for deep learning will be beneficial.

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Deep Learning with MXNet Cookbook
Published in: Dec 2023Publisher: PacktISBN-13: 9781800569607
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Andrés P. Torres

Andrés P. Torres, is the Head of Perception at Oxa, a global leader in industrial autonomous vehicles, leading the design and development of State-Of The-Art algorithms for autonomous driving. Before, Andrés had a stint as an advisor and Head of AI at an early-stage content generation startup, Maekersuite, where he developed several AI-based algorithms for mobile phones and the web. Prior to this, Andrés was a Software Development Manager at Amazon Prime Air, developing software to optimize operations for autonomous drones.
Read more about Andrés P. Torres

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