Dive into Deep Learning (Aston Zhang, et al)

 
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Dive into Deep Learning (Aston Zhang, et al)

This is a free, open-source interactive book that combines text, math, and code. It was created entirely in Jupyter notebooks and now supports the TensorFlow, PyTorch, and Apache MXNet programming frameworks.

The goal of the book is to educate readers about the various machine learning algorithms. The fact that the book includes all the coding information is a huge plus.

A group of Amazon scientists has been working on a book for the past few years that is becoming more and more well-liked by developers and students are drawn to the burgeoning subject of deep learning, a branch of machine learning that focuses on enormous artificial neural networks.

The book comes in a special format that combines text, math, and executable code. The book, which was entirely written in Jupyter notebooks, is a fully open-source live document, and each update updates the PDF, HTML, and notebook editions as well.

PyTorch and TensorFlow are two programming frameworks that the authors most recently included in their book. Because of this, the book, which was originally published for MXNet, has an even wider audience among scientists, researchers, and students that use open-source machine learning.

You will learn how to use Jupyter notebooks in Amazon SageMaker, Google Colab, and Kaggle.

Ebook Details

About the Authors
Zachary Lipton, an AWS scientist and assistant professor of operations research and machine learning at Carnegie Mellon University, Aston Zhang, a senior applied scientist with AWS;
Published
Published Date / Year
(Mar 25, 2022 - Date)
Permission
Free Online (interactive) and PDF Download
eBook Format
HTML and PDF
Language
English

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