Free e-book

Introduction to Deep Learning

Download the Community Edition of 'Intro to Deep Learning' to access the first chapter for free.

Community Edition

This book is 100% complete

Last updated on 2024-08-31


When you click Get My Free Ebook, we will send you a link to your email address provided above. When you click that link, we will create a Leanpub account for you, and you will be able to download the Community Edition from your Leanpub library.

By clicking Get My Free Ebook you agree to share your name and email address with the author(s) of this book, and to join their mailing list if they have one. You also agree to Leanpub's Terms of Service and Privacy Policy.


"Deep learning unlocks the power of neural networks, transforming how we understand and interact with data"

myothida
myothida

What is it all about?

The Community Edition of "Introduction to Deep Learning" offers a valuable preview of this bilingual guide, available in both English and Myanmar. This edition includes the first chapter, providing an accessible introduction to deep learning concepts for beginners and those with foundational knowledge.

In this chapter, you'll explore the basics of neural networks, including their historical evolution, essential mathematical concepts, and key prerequisites for understanding deep learning. This preview sets the stage for the more in-depth content covered in the full book, offering hands-on Python code examples and practical insights to help you get started on your AI journey.

This Community Edition aims to provide an inclusive learning resource, supporting those with limited access to educational materials. Dive into the fundamentals of deep learning and see how this guide can assist you in mastering AI.

What you'll learn

This edition includes the first chapter, providing an accessible introduction to deep learning concepts for beginners and those with foundational knowledge.In this chapter, you'll explore the basics of neural networks, including their historical evolution, essential mathematical concepts, and key prerequisites for understanding deep learning. This preview sets the stage for the more in-depth content covered in the full book, offering hands-on Python code examples and practical insights to help you get started on your AI journey.