[Pytorch] Building Deep Learning Models with Pytorch

Deep Learning, the trend is PyTorch!
Learn in a practical and enriching way.

From introduction to deep learning to implementation,
Powerful and intuitive PyTorch !

Do you know Pytorch, the Python deep learning framework that is gaining worldwide popularity? In Korea, Tensorflow is still used in most deep learning lectures, but Pytorch is being used more and more worldwide. Tensorflow and Pytorch are already being treated with equal weight overseas, and half of the source codes released online are also written in Pytorch.

In particular, the intuitive and Pythonic expression method is receiving full support from many researchers and developers for its convenience, and leading artificial intelligence companies such as OpenAI are also moving to the PyTorch camp. In addition, learners can experience many advantages in PyTorch when understanding the operating principles of deep learning models or solving problems such as debugging.

Now, PyTorch is an inevitable trend !

Do you only know Tensorflow or Keras and want to learn PyTorch? Did you feel like you were in a pie in the sky because there are good source codes written in PyTorch online that you can refer to? There will come a time when PyTorch is not an option but a necessity .

In this lecture , we will understand the principles of deep learning using PyTorch and create a model that can be used in practice . The lecture is structured so that anyone, even those with no mathematical knowledge or experience with TensorFlow or Keras, can naturally understand how to use PyTorch and what strengths it can have. Let's challenge together?

To these people
I recommend it.

Deep learning for the first time
For those who are starting out

Is artificial intelligence a pie in the sky?
Math quitter

Tensorflow/Keras only
Anyone who has tried it

Develop your implementation skills!
A hands-on curriculum.

✅ The course is structured to minimize theoretical explanations and focus on practical training to actually implement deep learning models.
✅ You can understand and utilize the functions of the library provided by PyTorch.
✅ You will be able to evaluate the performance of deep learning artificial intelligence models and visualize the results.
✅ As a bonus, your level of Python language proficiency will also deepen.

_{Pytorch Basics}

_{How Deep Learning Works}

_{Implementing Deep Learning Models}

The course is structured so that you can learn the principles and practices of deep learning step by step, from PyTorch basics, neural networks and deep learning, binary/multi-classification models, CNN (convolutional neural networks), transfer learning, and deep learning sequence models.

Check out the Q&A ! 💬

See other lectures together 📺

Introduction to Machine Learning and Deep Learning Using Python

trimurti

Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.

Beginner

Machine Learning(ML), Deep Learning(DL), Python

Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning

trimurti

You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.

Beginner

Machine Learning(ML), Deep Learning(DL), Python