Read-Through Challenge: *Deep Learning with Python, 3rd Edition*, by the Creator of Keras

Challenge schedule

• Recruitment period: 9/18 (Fri) ~ 10/10 (Sat)

• Challenge period: 10/11 (Sun)–12/19 (Sat) (10 weeks)

• Weekly reading: Complete two chapters per week, reading from Chapter 1 through Chapter 20

  
  

• A certificate of completion will be issued if you achieve 100% completion of the missions and course attendance during the challenge period. If you do not complete the missions, we cannot issue a certificate of completion.

• The challenge mission includes proof of book purchase. Only paper books can be verified!

• When signing up for the challenge, be sure to enter your name, phone number, and email. This information will be needed to provide Gilbut points later.

  
  

Challenge Benefits

• Benefits of joining the challenge (issued on October 10)

  • You can watch the free YouTube lectures for <Deep Learning from Scratch, 3rd Edition> at your own pace.

  • <Deep Learning with Python, Third Edition: Code Walkthrough> Inflearn paid course (https://inf.run/B8F2p) offering a free coupon (worth 90,000 won)

    
    

  • <Learn LLMs by Building from Scratch> Inflearn paid course (https://inf.run/WjvTL)50% discount coupon provided (worth 45,000 won)

  • <Machine Learning, Just the Essentials, Fast!> Inflearn paid course (https://inf.run/1cv1q)50% discount coupon provided (worth 20,000 won)

  • <Large Language Models, Quickly: The Essentials!> Inflearn paid course (https://inf.run/njgW2)50% discount coupon provided (worth 20,000 won)

• Additional benefits upon completing the challenge

  • Upon completing the challenge, you will receive 20,000 points that can be used like cash on the Gilbut website (Thanks to Gilbut Publishing for sponsoring the points)

  • When the challenge ends (12/18), we will provide the information of those who completed it to Gilbut, and Gilbut will provide instructions on receiving the points.

    
    

• The benefit will be provided as an Inflearn coupon. Please be sure to review the important notice below.

<Important Notes> Must Read!!!

• For challenge participants who joined on October 10, the link to claim a free coupon for the <Deep Learning with the Keras Creator, 3rd Edition: Code Explained> course and the link to claim 50% off coupons for the <Learn LLMs from Scratch>, <Machine Learning, Fast and Focused!>, and <Large Language Models, Fast and Focused!> courses will be sent to the email address registered with Inflearn.

• Please check in advance that you can receive emails from Inflearn. If the email is treated as spam, we will not be able to reissue it later. If you have trouble receiving emails from Inflearn, please contact the Inflearn Help Desk.

• This link is valid for 3 days. You must use the link to receive the free and discount coupons within 3 days. Once 3 days have passed, the link will be invalid and you will no longer be able to receive the coupons!

• You must use the issued coupon within 1 day!

Book Introduction

This book is written for anyone who wants to learn deep learning from the ground up or broaden their understanding. Whether you are a machine learning practitioner, software engineer, or college student, you will find something to learn in this book.
We will explore deep learning by starting with the basics and gradually moving on to the latest techniques. This book strikes a balance between intuition, theory, and practice. Rather than using mathematical notation, it explains the key ideas of deep learning through explanations of fundamental principles and practical code. You will train machine learning models from scratch for problems in a variety of domains and learn practical recommendations for building and deploying deep learning models in real-world settings.
After reading this book, you will have a solid understanding of what deep learning is, when to apply it, and what its limitations are. You will become familiar with the standard workflow for formulating and solving machine learning problems and learn how to address frequently encountered issues.

Target Audience

This book is for Python programmers who want to get started with machine learning and deep learning. It will also be quite useful to other readers.
∙ Data scientists familiar with machine learning will be able to grow the fastest and gain a solid, practical introduction to deep learning, the most advanced subfield of machine learning.
∙ For deep learning researchers or engineers who want to start learning the Keras framework, this book will be an ideal Keras crash course.
∙ Graduate students studying deep learning with a theoretical background will learn its practical aspects, develop intuition about deep neural networks, and become familiar with key best practices.
Even if you do not code, if you understand technology, this book will help you learn the fundamentals and advanced concepts of deep learning.
You should be familiar with Python to understand the code examples. It is fine if you have no prior experience with machine learning or deep learning. This book covers all the fundamentals you need. You do not need any knowledge of mathematics either. High school-level math is sufficient to read this book.

Reviews

• Anthony Goldbloom (Founder of Kaggle)

  “It’s the perfect book for anyone who wants to learn directly from a master of the industry.”

• Santiago Valdarrama (founder of ml.school)

  “An insightful and practical guide that starts with the fundamental principles and teaches you how to think about building models that actually work.”

• Aran Komatsuzaki (EleutherAI researcher)

  “The most up-to-date and comprehensive guide among the deep learning books currently available!”

• Salvatore Sanfilippo (creator of Redis)

  “It conveys the true essence of neural networks exceptionally well. It is an outstanding technical book, rare to find in recent years.”

• Martin Görner (Google)

  “Chollet is an excellent educator. He explains complex concepts clearly and uses practical code instead of mathematics. He is also an accomplished machine learning researcher. It is a pleasure to read his insights into various model architectures and training tips.”

• Sayak Paul (Carted)

  “Dive into this fascinating introductory book, packed with practical examples from the field of deep learning. It’s essential reading for every deep learning practitioner.”

• Edmon Begoli (Oak Ridge National Laboratory)

  “An up-to-date classic just got better.”

• Yiannis Paraskevopoulos (University of West Attica)

  “It is the true bible of deep learning.”

• Raushan Jha (Microsoft)

  “It’s the best book on deep learning with Python.”

• Viton Vitanis (Viseca Payment Services)

  “It’s a book full of insights. It’s useful for both beginners and experienced machine learning professionals.”

• Todd Cook (Appen)

  “It perfectly explains everything from A to Z about deep learning.” Purchase the book

• [Kyobo Bookstore] [Yes24 [Aladin]

• 672 pages, 48,000 won –> 43,200 won