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Understanding the concept of deep learning leading to practical artificial intelligence

This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.

(4.8) 수강평 106개

강의소개.상단개요.수강생.short

난이도 입문

수강기한 무제한

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

먼저 경험한 수강생들의 후기

먼저 경험한 수강생들의 후기

4.8

5.0

ableman

100% 수강 후 작성

This is a great help in understanding the essential differentiation concepts for deep learning, as it provides detailed explanations and proofs.

5.0

조희제

100% 수강 후 작성

It was very good for grasping the basic concepts.

5.0

박순성

100% 수강 후 작성

This is a great lecture where you can learn everything from the very basic concepts of deep learning to advanced concepts. And the latter part contains content that is a little bit separate from the concepts, so I think it will be helpful. If you are interested in deep learning but don't know what to study, I think it will be a good starting point. It was good that I was able to ask a lot of questions about things I didn't know because it answered my questions and concerns well.

강의상세_배울수있는것_타이틀

  • Deep Learning Related Honey Tips

  • How artificial neural networks work

  • Model tuning and transfer learning methods for improved performance

Deep Learning, from the Basics!
Let's learn the core principles of artificial intelligence together.

Why Deep Learning?📝

I am Deep Learning Ho-hyung, who currently runs a YouTube channel about deep learning/machine learning.
( https://www.youtube.com/channel/UCt9jbjxLBawaSaEsGB87D6g/ )

Knowledge of mathematics/data analysis , extensive experience in deep learning/machine learning Based on my project experience and career as a research engineer , I will point out the things you must study.

Lecture Introduction 💡

"This lecture is a theoretical lecture."

Artificial neural networks (ANNs) are a powerful AI technology already being applied in a wide range of fields, including manufacturing, autonomous vehicles, healthcare, biotechnology, and robotics. Indeed, the number of papers submitted is increasing every year, leading to numerous universities worldwide establishing related departments and significant investment from the industry. Similarly, universities in Korea are rapidly establishing AI-related departments . In line with this trend, we've created this course for those seeking a thorough introduction to deep learning .

Deep learning is a subject that requires both conceptual understanding and implementation skills , so many people find it difficult. Therefore, through this lecture, I will try to explain it more easily and highlight the important parts. The curriculum is as follows: The content is organized based on the lecturer's specialized knowledge and research experience, and the lecture is divided into theory and implementation sections.

First, we'll cover essential knowledge about deep learning . Deep learning research often expands or improves on existing concepts. Therefore, understanding the fundamentals and related knowledge is crucial to understanding the latest research. This course will provide an easy-to-understand overview of the fundamentals through examples and diagrams . Second, we'll develop the ability to implement models using PyTorch . The programming part allows you to build various artificial neural networks, such as CNNs, LSTMs, and CAMs, without any separate installation.

Considering your precious time, we've structured this lecture compactly! Shall we begin?

What you will learn in this course ✏️

Are you still simply using other people's code? Or are you implementing it without understanding the concepts? A thorough understanding is essential for application and for identifying existing problems. In this lecture, we'll explain the concepts behind artificial neural networks from the ground up, explaining why they work and demonstrating examples along the way.

Beyond the basics, this course expands on transfer learning , essential for practical research, and covers semi-supervised and unsupervised learning . At the end of the course, we'll provide study tips to help you master deep learning.

Expected Questions Q&A 🙋🏻‍♂️

* This lecture is a theory-based lecture without coding .

Q. Can non-majors also take the course?
A. You can take the course regardless of your major .

Q. What are the benefits of learning deep learning?
A. Deep learning is the most widely utilized machine learning technology, making it a must -learn for anyone entering the field of artificial intelligence. Furthermore, with so many products incorporating deep learning technology already in our lives, acquiring a solid understanding of the technology will be invaluable in AI-related jobs and careers.

Q. Are there any special advantages to this course?
A. Although this is an introductory course, you'll gain knowledge beyond the beginner level, including valuable tips, transfer learning, and model tuning . Furthermore, this course is based on the curriculum of overseas universities and insights gained through actual research .

Go watch the implementation lecture!! 👇

강의소개.콘텐츠.추천문구

학습 대상은 누구일까요?

  • Anyone interested in deep learning

  • Anyone interested in universities/graduate schools related to artificial intelligence

선수 지식, 필요할까요?

  • Passion to do

강의소개.지공자소개

5,135

수강생

404

수강평

261

답변

4.7

강의 평점

7

강의_other

Hello.

I am Deep Learning Ho-hyung, and I run a YouTube channel related to deep learning and machine learning.

I majored in mathematics and data analysis, and I have completed and am currently working on numerous deep learning projects.

I am Deep Learning Ho-hyung, and I run a YouTube channel focused on deep learning and machine learning. I majored in mathematics and data analysis, and I have completed and am currently working on numerous deep learning projects.

I have knowledge that I can share with you regarding Artificial Intelligence topics such as machine learning, advanced machine learning, deep learning, optimization theory, and reinforcement learning, as well as mathematical subjects including linear algebra, calculus, probability and statistics, analysis, and numerical analysis.

Nice to meet you all! * Related Experience: Current) Numerous SCI(E) papers and international conference presentations Current) Multiple university advisory roles related to AI Former) Senior Researcher at K-Corp - Data Analysis and

Nice to meet you all!

* Relevant Experience Current) Numerous SCI(E) papers and international conference presentations Current) Multiple university advisory roles related to Artificial Intelligence Former) Senior Researcher at K-Corporation - Data Analysis and Simulation: New Product Development

* Related Experience

Current) Numerous SCI(E) papers and presentations at international conferences

Current) Multiple university advisory roles related to Artificial Intelligence

Former Senior Researcher at K-Company - Data Analysis and Simulation: New Product Development, Performance Improvement, and New Technology Application

Author of "Introduction to PyTorch for Deep Learning" (Selected as a 2022 Sejong Book in the Academic Category)

- Data Analysis and Simulation: New product development, performance enhancement, and application of new technologies. Author of "Introduction to PyTorch for Deep Learning" (Selected as a 2022 Sejong Book in the Academic Category).

- Data Analysis and Simulation: New product development, performance enhancement, and application of new technologies. Author of "Introduction to PyTorch for Deep Learning" (Selected as a 2022 Sejong Book in the Academic Category).

- Data Analysis and Simulation: New product development, performance enhancement, and application of new technologies. Author of "Introduction to PyTorch for Deep Learning" (Selected as a 2022 Sejong Book in the Academic Category).

- Data Analysis and Simulation: New product development, performance enhancement, and application of new technologies. Author of "Introduction to PyTorch for Deep Learning" (Selected as a 2022 Sejong Book in the Academic Category).

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106개

4.8

106개의 수강평

  • refreshingpower4027님의 프로필 이미지
    refreshingpower4027

    수강평 2

    평균 평점 5.0

    5

    100% 수강 후 작성

    This is a great help in understanding the essential differentiation concepts for deep learning, as it provides detailed explanations and proofs.

    • dlbro
      지식공유자

      I hope this will be a solid foundation for your goals😀😀 Thank you for your review!

  • snucurl0775님의 프로필 이미지
    snucurl0775

    수강평 2

    평균 평점 5.0

    5

    100% 수강 후 작성

    Good job, good job

    • dlbro
      지식공유자

      Thank you for your good evaluation. I hope you do well in your future studies! If you have any questions about the lecture content, please leave them anytime!! 😀

  • chj9203190380님의 프로필 이미지
    chj9203190380

    수강평 4

    평균 평점 5.0

    5

    100% 수강 후 작성

    It was very good for grasping the basic concepts.

    • dlbro
      지식공유자

      Thank you for your course review! Keep up the good work!! Thank you!

  • nm7896nm1515님의 프로필 이미지
    nm7896nm1515

    수강평 1

    평균 평점 5.0

    5

    100% 수강 후 작성

    This is a great lecture where you can learn everything from the very basic concepts of deep learning to advanced concepts. And the latter part contains content that is a little bit separate from the concepts, so I think it will be helpful. If you are interested in deep learning but don't know what to study, I think it will be a good starting point. It was good that I was able to ask a lot of questions about things I didn't know because it answered my questions and concerns well.

    • dlbro
      지식공유자

      Thank you for the great review!! And I think it will be helpful to others as well since you asked great questions! I hope you do great research in the future😀

  • jeongjihye88101242님의 프로필 이미지
    jeongjihye88101242

    수강평 7

    평균 평점 4.3

    5

    63% 수강 후 작성

    I think you kindly explained it well from the basics in an easy-to-understand way. I like it. I am satisfied.

    • dlbro
      지식공유자

      Thank you so much for your great review. I really hope it helps you. I hope you continue to grow! If you have any questions, please feel free to ask :)

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