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Do It! Introduction to Deep Learning

This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’

(4.9) 73 reviews

4,863 learners

Level Basic

Course period Unlimited

Deep Learning(DL)
Deep Learning(DL)
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
Deep Learning(DL)
Deep Learning(DL)
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network

News

3 articles

  • haesunpark님의 프로필 이미지

    Hello. I'm Haesun Park.

    It's been a while, but I'm happy to announce the publication of a new book.

    <AI and Machine Learning for Coders> author Laurence Moroney's new book <Llama 2 and Beyond: A Guide to LLMs with PyTorch> has been published!

    The previous book focused on deep learning applications using the TensorFlow ecosystem. This book uses PyTorch instead of TensorFlow and focuses on generative AI, such as LLMs and diffusion models. It is now available at online and offline bookstores! The e-book has also been released! 🙂

    I have created a short video summarizing what's new compared to the previous edition. Share this video on your social media, and five winners will be selected to receive a copy of from Hanbit Media! You must register on the Google Form after sharing it on social media. Please refer to the instructions below!

    • Video URL to share: https://youtu.be/vEwY31kDtl4

    • Please register the SNS URL where your shared content can be viewed in the Google Form (https://forms.gle/9CMP37YMugpkA8G96).

    • If you cannot register the URL address, please upload a screenshot instead.

    • Event Period: 3/5 (Thu) ~ 3/13 (Fri)

    • Winner Announcement: 3/16 (Mon) (Winners will be contacted individually)

    The books will be sent directly by Hanbit Media.

    We look forward to your participation.

    Thank you!

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  • haesunpark님의 프로필 이미지

    Hello. I'm Haesun Park.

    Wishing everyone lots of blessings in 2026! 🙂

    The main content explanation for the "Machine Learning, Just the Essentials!" course has been completed. Following that, "Large Language Models, Just the Essentials!" will also be fully completed soon. The good news is that author Andriy Burkov has given permission to use the supplementary content from the original book's wiki in the courses. Explanations about this content will be added to both courses, so please look forward to it! Following these two books, the "LLM Fine-Tuning" book will be published soon. I will inform you again when pre-orders begin.

    Also, this time through Insight Publishing, I'm sending you a discount coupon for the "Learn PyTorch Deep Learning in 10 Days" course on Inflearn. Please take a moment to browse the course and purchase it at a discounted price if you need it. I hope this will be helpful to anyone who was planning to take a course like this!

    >>>>> Inflearn Course Discount Coupon for Learning PyTorch Deep Learning in 10 Days

    ■ Course Title: Learn PyTorch Deep Learning Basics in 6 Days Discount Coupon

    Discount coupon: 25% off - https://inf.run/UFttZ

    Have a great afternoon. Thank you!

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  • haesunpark님의 프로필 이미지

    Hello. I'm Park Haeseon.

    Are you having a pleasant weekend? 🙂 I have news about a new book publication to share with you.

    The Hundred-Page book series written by Andriy Burkov, who led the machine learning team at Gartner, has been published through Insight Publishing! Both <The Hundred-Page Machine Learning Book> and <The Hundred-Page Language Models Book> are bestsellers that gained high popularity on LeanPub and Amazon. These two books have been released as <Machine Learning, Just the Essentials!> and <Large Language Models, Just the Essentials!> respectively.

    These two books thoroughly explore the true nature of machine learning and large language models through theory and examples. Although they are relatively thin books of about 200 pages, their style of progressing step by step from basic mathematical theory to reach the summit is remarkably honest and excellently captures the essence. I recommend them to everyone who wants to experience the fundamentals of machine learning and large language models! They are currently available for pre-order at online bookstores. 🙂


    -- P.S.: If you enroll in the <Building and Learning LLM from Scratch> GitHub + bonus content commentary lecture during this week (2025.10.17~2025.10.26), we will randomly select four people to receive and as gifts. Thank you for your interest!

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