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AI Technology

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Computer Vision

[AI Fundamentals] Understanding CNNs for AI Research Engineers

Still lost on CNN even after studying it? I'll concisely explain CNN's core mechanics.

(4.8) 57 reviews

842 learners

Level Beginner

Course period Unlimited

Computer Vision(CV)
Computer Vision(CV)
Python
Python
PyTorch
PyTorch
CNN
CNN
Computer Vision(CV)
Computer Vision(CV)
Python
Python
PyTorch
PyTorch
CNN
CNN
Thumbnail

Reviews from Early Learners

4.8

5.0

SeungRye Ahn

60% enrolled

It seems easy for beginners to understand. '')=b

5.0

구름같이

100% enrolled

You can quickly get an intuitive feel for the meaning of convolution and CNN learning.

5.0

똘똘이스머프

100% enrolled

Thank you for your valuable lecture. Stay healthy always.

What you will gain after the course

  • Understanding Basic Concepts of Convolutional Neural Network (CNN)

  • Learning Convolution Operation and Filter Principles

  • Numpy Convolution Operation Implementation and Result Visualization

  • PyTorch: Convolution Implementation and Result Visualization

  • Understanding CNN's learning principles and input/output channel meaning

I don't really understand CNN.... 😭

Do you understand exactly what a convolution operation is?

Let me first show you a simple example of how convolution is used in computer vision.

CNN is Convolution + Neural Network.

If you don't quite understand CNN, first understand what a convolution is 😀

Features of this course

We've included only the essentials for your precious time.

📌 We will explain step by step what a convolution is.

📌 Let's learn how convolution is used in computer vision.

📌 Let's implement convolution in both Python Numpy and PyTorch and confirm that the results are the same.

📌 We will explain the learning principles of CNN.

I recommend this to these people

I started studying artificial intelligence (AI).
This course is for beginners and can be taken without any prior knowledge.

I don't really understand CNN.
If you still don't understand CNN, let's study Convolution first.

I want to understand convolution
Let's take a look at how convolution operations in PyTorch or TensorFlow actually work.

Learn about these things.

What is Convolution?

The convolution operation itself isn't actually all that complex. First, let's understand exactly how it works.



Examples of Convolution in Computer Vision

Let's learn how convolutions are used in computer vision with examples. In fact, you're already using convolutions extensively.

Convolution - Numpy implementation

Let's implement convolution in Numpy. Let's delve into how convolution works exactly.

Convolution - PyTorch Implementation

Let's verify that the implementations in Numpy and PyTorch are consistent. Then, let's delve deeper into CNNs.

Things to note before taking the course

Practice environment

  • You don't have to follow the exercises blindly. It's fine to just look at the results.

  • The practical environment is explained based on Windows OS.

  • We use Python, Numpy, and PyTorch.

  • We use Anaconda, VScode, and Jupyter Notebook for environment setup.

    • At the beginning of the lecture, we will show you how to set up the environment.

Recommended for
these people

Who is this course right for?

  • For all who want to learn CNN basics

  • Those who learned CNN but still don't quite get it.

  • For those who want to properly understand CNN

Need to know before starting?

  • No prior knowledge required.

  • (Optional) Deep Learning Basic Knowledge

  • (Optional) Experience with Numpy and PyTorch

  • (Optional) Understanding of Linear Algebra and Basic Mathematical Concepts

Hello
This is whitebox

1,254

Learners

92

Reviews

10

Answers

4.9

Rating

2

Courses

  • Key Experience

    • (Current) AI Research Engineer at a major Korean IT company

    • (Former) AI Research Engineer at an AI startup

  • AI Research & Development History

    • Experience in leading numerous AI projects and launching AI products

      Experience in numerous AI research projects and publications in Top-Tier Conferences Generative AI Expert Other Experience Tutorial Instructor for AI sessions at domestic academic conferences Guest Lecturer for AI courses at major domestic corporations

    • Extensive experience in AI research and publishing papers in top-tier conferences

    • Generative AI Expert

  • Other Experience

    • Tutorial instructor for AI sessions at domestic academic conferences

    • Guest lecturer for AI courses at major Korean corporations

    • In-house Generative AI seminar instructor

      Experience publishing papers in top-tier conferences Generative AI expert Other Experience: Tutorial instructor for AI sessions at domestic academic conferences Guest lecturer for AI courses at major domestic corporations In-house Generative AI seminar instructor

Experience publishing papers at top-tier conferences Generative AI expert Other Experience: Tutorial instructor for AI sessions at domestic academic conferences Guest lecturer for AI courses at major domestic corporations In-house Generative AI seminar instructor

More

Curriculum

All

15 lectures ∙ (49min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

57 reviews

4.8

57 reviews

  • seungrye0224님의 프로필 이미지
    seungrye0224

    Reviews 1

    ∙

    Average Rating 5.0

    5

    60% enrolled

    It seems easy for beginners to understand. '')=b

    • whitebox
      Instructor

      Thank you. I will come back again with a helpful lecture.

  • likeacloud님의 프로필 이미지
    likeacloud

    Reviews 8

    ∙

    Average Rating 5.0

    5

    100% enrolled

    You can quickly get an intuitive feel for the meaning of convolution and CNN learning.

    • whitebox
      Instructor

      Thank you for your course review. I will come back with another great lecture.

  • hyongsu44님의 프로필 이미지
    hyongsu44

    Reviews 868

    ∙

    Average Rating 5.0

    5

    100% enrolled

    Thank you for your valuable lecture. Stay healthy always.

    • whitebox
      Instructor

      Thank you. I will come back with a better lecture.

  • foreverfive10048897님의 프로필 이미지
    foreverfive10048897

    Reviews 1

    ∙

    Average Rating 5.0

    5

    33% enrolled

    • jyjh님의 프로필 이미지
      jyjh

      Reviews 2

      ∙

      Average Rating 4.5

      4

      60% enrolled

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