This lecture was very informative because it allowed me to organize many of the parts I had missed while working on deep learning. If this lecture was a lecture that allowed me to see the forest, I look forward to the next lecture that will cover computer vision, natural language processing, etc. in more depth. Thank you for the great lecture.

bosinnam3045

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

이론과 실습 한 번에

이론 실습 모두

개념정리

딥러닝기초

딥러닝모델

자연어처리

입문

초급

중급이상

Deep Learning(DL)

파이토치

PyTorch

Computer Vision(CV)

자연어처리(Natural Language Processing)

transformer

Course Introduction

PyTorch Environment Setup and PyTorch Basics

What is Deep Learning?

Loss Function

Advanced Topics in Loss Function

Gradient Descent

Advanced Topics in Gradient Descent

Activation Function

Optimization

Building a Fully Connected NN with PyTorch!

Regularization

Learning Rate Scheduler

Initialization

Normalization

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

Attention and Transformer