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

Author (1)

Andrés P. Torres

Technical requirements

Apart from the technical requirements specified in the Preface, no other requirements apply to this chapter.

The code for this chapter can be found at the following GitHub URL: https://github.com/PacktPublishing/Deep-Learning-with-MXNet-Cookbook/tree/main/ch01.

Furthermore, you can access directly each recipe from Google Colab – for example, use the following for the first recipe of this chapter: https://colab.research.google.com/github/PacktPublishing/Deep-Learning-with-MXNet-Cookbook/blob/main/ch01/1_1_Installing_MXNet.ipynb.

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Deep Learning with MXNet Cookbook

Published in: Dec 2023Publisher: PacktISBN-13: 9781800569607

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Author (1)

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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