배재훈

딥러닝 현업에 종사하기 위해 필요한 딥러닝의 “핵심 개념”을 배우고 PyTorch을 활용한 실습을 통해서 실제 딥러닝 프로젝트를 수행하는데 필요한 실무를 가르쳐주는 강의입니다.

변정현

2025 추석맞이 감사할인

딥러닝 이론 + PyTorch 실무 완전 정복

이론과 실습 한 번에

이론 실습 모두

개념정리

딥러닝기초

딥러닝모델

자연어처리

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.

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입문

초급

중급이상

Deep Learning(DL)

파이토치

PyTorch

Computer Vision(CV)

자연어처리(Natural Language Processing)

transformer

Complete mastery of deep learning theory + PyTorch practice

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