Learn PyTorch Deep Learning Basics in 6 Days

Hello. I'm Han Kiyeong.

My book
《Master PyTorch Deep Learning in 10 Days》, written based on my Inflearn course, has been published.

✍ Book Introduction

Hello, I'm Han Ki-young. My book "Mastering PyTorch Deep Learning in 10 Days," written based on my Inflearn course, has been published. ✍ Book Introduction

[PyTorch Deep Learning Basics in 6 Days] Based on the lecture series, 《Master PyTorch Deep Learning in 10 Days》 incorporates over 10 years of practical and teaching experience, designed so that even those new to deep learning can easily understand. Instead of complex formulas, concepts are explained through friendly analogies and everyday language, and it's optimized for beginners as you can practice directly in Google Colab without any separate installation.

In just 10 days, you'll be able to implement the core principles of deep learning—from machine learning basics to CNN, RNN, and autoencoders—directly with PyTorch. The book systematically covers hyperparameter tuning and model performance improvement methods, enabling you to develop practical application skills beyond mere theoretical learning. Don't find deep learning difficult anymore—invest just 10 days to create your own model.

• Publisher link: https://blog.insightbook.co.kr/2025/12/18/10%EC%9D%BC-%EB%A7%8C%EC%97%90-%EC%9D%B5%ED%9E%88%EB%8A%94-%ED%8C%8C%EC%9D%B4%ED%86%A0%EC%B9%98-%EB%94%A5%EB%9F%AC%EB%8B%9D/

• yes24 : https://www.yes24.com/product/goods/169421035

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To commemorate this, I'm offering all my courses registered on Inflearn to everyone at a 25% discount.
Additionally, for those who purchase the book and send a proof of purchase, I will individually send a 60% discount coupon.

🔥 Discount Benefits Information

• Eligible Courses:

  • PyTorch Deep Learning Basics in 6 Days

  • Learning Data Analysis Without Coding

• Discount Rate:

  • For everyone: 25%

  • For those who send proof of book purchase: 60%

    • Where to send proof of purchase: hanky747@gmail.com

• Period: January 4-17, 2016

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💡I hope this book and course will serve as a solid guide for your deep learning journey.

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