This is my first time studying deep learning and using formulas to study the theoretical part. It was more difficult than I thought, so it took time to study and review, but it was fun and rewarding to understand it one by one and move on. I think I will keep this lecture and review it whenever I need to. Thank you for the great lecture!

kuykcy3487

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

인프런 10주년! 사랑주간 전체 할인

Complete mastery of deep learning theory + PyTorch practice

Hello! Thank you for your good review! Yes, I think it was a bit difficult because it was aimed at a level of depth that could actually be used in practice. Yes, I also had a hard time understanding it completely when I first studied deep learning! I think you will master it if you review and study it several times!

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