Deep Learning and PyTorch [and Image Classification]

Learn deep learning through PyTorch. Ultimately, the course covers image classification.

5 learners are taking this course

Level Beginner

Course period Unlimited

Python
Python
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
image-classification
image-classification
AI
AI
Python
Python
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
image-classification
image-classification
AI
AI

What you will gain after the course

  • PyTorch

  • Deep Learning

  • Python

  • Deep Learning

  • AI

  • Image Classification


AI (Deep Learning), PyTorch

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.


Build a solid foundation in deep learning with PyTorch!


We will help you grow into the deep learning expert you dream of becoming.


Final Result




By the end of this course, you will


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.







✔️

This course is the fastest way to master Deep Learning and PyTorch.

Everything about Image Classification
Starting with PyTorch

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.

Building a Deep Learning Model
Using Real Images

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.

PyTorch-based
Practice Code and Materials

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.

We can solve the concerns
of people like this!

📌

Python beginners and AI newcomers

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

📌

Learners with development experience

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 wish to acquire image classification skills

Those who want to learn techniques specialized in image classification among various application fields of deep learning




Notes before taking the course

  • 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.


Recommended for
these people

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

Hello
This is vmproductor0202

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