You're reading from The Deep Learning Architect's Handbook

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781803243795

Edition1st Edition

Concepts

Deep Learning

Author (1)

Ee Kin Chin

To get the most out of this book

The code provided in the chapters has been tested on a computer with Python 3.10, Ubuntu 20.04 LTS 64-bit OS, 32 GB RAM, and an RTX 2080TI GPU for running deep learning models. Although the code has been tested on this specific setup, it may also work on other configurations; however, compatibility and performance are not guaranteed. Python dependencies are included in the requirements.txt file for easy installation in each chapter’s respective GitHub folders. Additionally, some non-Python software might be required; their installation instructions will be mentioned at the beginning of each relevant tutorial. For these software installations, you need to refer to external manuals or guides to install them. Do keep in mind the potential differences in system configurations as you carry out the practical code sections in this book.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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The Deep Learning Architect's Handbook

Published in: Dec 2023Publisher: PacktISBN-13: 9781803243795

Author (1)

Ee Kin Chin

Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.
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