There are many parts about PyTorch and formulas that I don't understand, but the lecture helped me a lot to clearly understand the concept of deep learning. The related concepts were also explained well, making it much easier to understand. Thank you!!

firsthink0334

This course teaches the “core concepts” of deep learning required to work in the deep learning field and the practical skills required to perform actual deep learning projects through hands-on training using PyTorch.

peterbyun969574

Complete mastery of deep learning theory + PyTorch practice

입문

초급

중급이상

Deep Learning(DL)

파이토치

PyTorch

Computer Vision(CV)

자연어처리(Natural Language Processing)

transformer

Introduction to the course

Setting up PyTorch environment and PyTorch basics

What is Deep Learning?

Loss Function

Advanced Topics in Loss Function

Gradient Descent

Advanced Topics in Gradient Descent

Activation Function

Optimization

Creating a Fully Connected NN with PyTorch!

Regularization

Learning Rate Scheduler

Initialization

Normalization

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

Attention and Transformer