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[Management Course #1] Design (UML+ClassDiagram)
vmproductor0202
This is a class diagram lecture in UML. This is a design lecture.
Basic
Architecture, C#, winform
Learn deep learning through PyTorch. Ultimately, the course covers image classification.
5 learners are taking this course
Level Beginner
Course period Unlimited


PyTorch
Deep Learning
Python
Deep Learning
AI
Image Classification
Do you want to learn how deep learning is handled in the field?
This course provides a solid, practice-oriented curriculum, covering everything from core deep learning concepts to building image classification models using PyTorch.
Are you new to deep learning? Did you feel overwhelmed from the very beginning? Is it also your first time using the Python language?
Starting from the basic preparation for handling data, you will systematically learn the essential elements required for deep learning training, including the concept and operations of Tensors, DataSets, and DataLoaders.
You will practice creating neural network layers yourself, building models, and the process of passing data through them.
Do you want to develop practical deep learning skills that theory alone couldn't provide?
Don't miss this opportunity to take your AI capabilities to the next level.
We will help you grow into the deep learning expert you dream of becoming.
We help you understand the core principles of building deep learning models using PyTorch.
Starting from the basic concepts of Tensors, you will learn complex concepts easily.
Through this, you can gain a deeper understanding of PyTorch code.
You will be able to design your own models.
You will learn about various layers, which are the basic building blocks of neural networks, and master how to combine them to design your own deep learning models.
Develop the ability to effectively solve image classification problems.
You will experience the step-by-step process of training a model using real image data and solving image classification problems. By applying the concepts learned in the lecture to practical examples, you can practically improve your problem-solving skills through deep learning.
It's okay if you don't have a foundation in Python. Starting from the core concepts of deep learning and PyTorch, you will learn step-by-step from tensor operations and model building to real-world image classification. The course is structured so that you can master clear concepts through code instead of complex theories.
In the lecture, you will directly handle Tensors, DataLoaders, and neural network layers to create and train models. Beyond simply typing along with the code, you will be able to experience firsthand how deep learning models work through classification examples using real image data.
We provide all PyTorch code and related materials used in the lecture. From tensor creation and operations to saving and loading models, you can rapidly improve your deep learning model-building skills by utilizing all the code necessary for the hands-on exercises.
Those who have no experience with Python but want to learn the latest AI technology
Those who have a vague curiosity about the field of deep learning
Those who have learned the basics of Python but want to know how to actually implement and train deep learning models
Those who want to create practical AI models using the PyTorch framework
Those who want to learn techniques specialized in image classification among various application fields of deep learning
Lecture content is provided as a PPT.
It is recommended to learn the code examples by writing them yourself during the practice sessions.
Subtitles are provided, so you can learn comfortably while listening to music.
This is a practice and theory-oriented lecture.
Who is this course right for?
Those who wish to learn AI but have no knowledge of Python
Those who wish to learn Deep Learning
Those who wish to learn image classification
23,685
Learners
890
Reviews
288
Answers
4.4
Rating
25
Courses
I am a technology leader among IT professionals in Korea.
The only lecture in Korea:
eGovFrame, LAYERED Architecture
,WPF_MVVM pattern. OLAP, SSIS, SSAS, etc.
The only lecture in the world:
Springframework + Enterprise Architecture[EA],
Query refactoring, SignalR + JWT
MAUI + MVVM + AZURE, etc.
If you have any questions during the lecture,
Questions and answers regarding this lecture, or
Please leave a message at vmproductor@gmail.com.
I also offer consultations for non-lecture related matters, general inquiries, and career counseling.
Experience-
Bachelor's degree in Computer Science. Certified Engineer Information Processing.
ExtremeNetworks (Korea), former intern at the world's 2nd largest network company
Web, Android, AI development and maintenance (former)
ERP Web Development (Former)
Database, Server Administrator (Former)
MES, FA (Former)
E-Commerce Web Development (Former)
Remote control and monitoring of national facilities (current)
Web, Android, AI development and maintenance (Former) ERP web development (Former) Database, Server Administrator (Former) MES, FA (Former) E-Commerce web development (Former) Remote control and monitoring of national facilities (Current)
Part-
Designer, Web, Android, Remote Automation Systems, Translation Programs, Server, Network, White Hat Hacker, Angular
Project Manager, DBA (MSSQL, ORACLE, MYSQL), DE, OS programming, Application Software, Astrophysics
I specialize in these and other related fields.
All
17 lectures ∙ (3hr 56min)
Course Materials:
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