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Understanding the Basics of CNN Properly | Legend 13 Free Release

Have you learned CNNs but feel unsure about how convolution finds features in images? We’re offering the CNN review section from Hyukpendheim’s Legend 13 for free. Instead of simply memorizing the model architecture, understand how CNNs work through intuitive explanations.

8 learners are taking this course

Level Basic

Course period Unlimited

Deep Learning(DL)
Deep Learning(DL)
CNN
CNN
Deep Learning(DL)
Deep Learning(DL)
CNN
CNN
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What you will gain after the course

  • Understanding the Basic Structure and Operating Principles of Convolutional Neural Networks (CNNs)

  • Understanding the process of extracting image features by connecting the key concepts of CNNs

Recommended for
these people

Who is this course right for?

  • Those who have learned the basics of deep learning but still find the workings of CNNs daunting

  • Those who want to review the fundamentals before studying advanced CNN models such as ResNet.

Need to know before starting?

  • Fundamental Concepts of Artificial Neural Networks and Deep Learning Training

  • Experience with CNNs or completion of an introductory course on the subject is recommended.

Hello
This is hyukppen

Hello. I’m Hyeokpenheim, a deep learning instructor with a Ph.D. from the KAIST School of Electrical Engineering. After working as a principal researcher at Samsung Electronics and as an adjunct lecturer at the School of Medicine at Sungkyunkwan University, I currently run Hyeokpenheim Academy. I am the author of *Easy! Deep Learning*, an introductory book on deep learning, and have 11 years of teaching experience, having taught approximately 3,000 students in total. I specialize in deep learning theory and PyTorch practice, covering CNNs, transformers, LLMs and vision models, diffusion, and more.

Rather than simply memorizing model architectures or equations, I explain why each idea emerged and how it works. Starting with intuitive analogies, I clarify the meaning of the equations and connect them to code, with the goal of helping learners explain what they have learned in their own words and build a foundation for reading papers in depth.

On the YouTube channel “Hyukpenheim,” we offer lectures ranging from basic mathematics and Python to advanced deep learning topics, as well as providing on-site lectures and training for schools, companies, and organizations.

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