It was a great help in reviewing the theory because you went into detail about concepts like loss function and optimizer that I didn't know much about and used. I'm looking forward to the intermediate course lecture!!

sguys996119

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

배움이 더 쉬워지는 9월의 할인

Complete mastery of deep learning theory + PyTorch practice

Thank you for taking the class :) And I'm glad it was helpful! I'll prepare harder for the next class and open it!

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