한달동안 매일 딥러닝 강의를 들었습니다:) 학생들을 세심하게 배려해주시고 신경써주신게 느껴져서 그저 감사한 마음으로 들었네요. 어려운 내용도 쉽게 설명해주셔서 지루하지 않고 끝까지 완강할 수 있었습니다. 너무나 퀄리티 높은 강의 만들어주셔서 감사합니다!

Gemma

강사가 처음 딥러닝을 익혔을 때 실패했던 경험을 바탕으로 딥러닝 이해에 필요한 수학, 이론, 파이토치 기반 구현, 전이학습, GPT 핵심 트랜스포머까지 차근차근 익힐 수 있도록 새롭게 꾸민 강의입니다.

잔재미코딩 DaveLee

처음하는 딥러닝과 파이토치(Pytorch) 부트캠프 (쉽게! 기본부터 챗GPT 핵심 트랜스포머까지) [데이터분석/과학 Part3]

감사합니다!! 더 노력하는 잔재미코딩이 되겠습니다

This is a newly designed course that allows you to gradually learn the mathematics, theory, PyTorch-based implementation, transfer learning, and GPT's core transformer needed to understand deep learning, based on the instructor's own failed experiences when first learning deep learning.

funcoding

입문

초급

중급이상

Deep Learning(DL)

파이토치

PyTorch

Machine Learning(ML)

Artificial Neural Network

비전 트랜스포머

Vision Transformer

Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT's Core Transformer) [Data Analysis/Science Part 3]

Introduction to Lectures and Course Curriculum

Essential Basic Background Knowledge (Theory) for Understanding Deep Learning Concepts

PyTorch Basic Syntax Summary (Practice-Oriented)

A Summary of Numpy Library Usage for Deep Learning Implementation (Practice-Focused)

PyTorch Tensor Operations: Mathematical Theory and Implementation Summary (Theory + Practice)

Understanding Core Deep Learning Theory (Theory-Focused)

Implementing Basic Deep Learning Architecture (Practice-Focused)

Implementing Deep Learning Training (Practice-Focused)

Summary of Various Activation Functions (Theory + Practice)

Understanding Various Optimizers (Theory-Focused)

Applying Deep Learning to Classification Problems

Improving Deep Learning Architecture (Practice-Focused)

Summary of Deep Learning Regularization Techniques (Theory-Focused)

Deep Learning Fundamentals for Images: Understanding CNN (Theory + Practice)

Deep Learning Fundamentals for Sequential Data: Understanding RNN and LSTM (Theory-Focused)

Deep Learning Basics for Sequential Data: Applying RNN and LSTM (Hands-on Practice)

The Shortcut to Leveraging the Latest Deep Learning Technology: Understanding Transfer Learning

Understanding Key Image Models for Transfer Learning (Theory-Focused)

Deep Learning Intermediate: Applying State-of-the-Art Vision Transformer Models with Transfer Learning (Hands-on Practice)

Intermediate Deep Learning: Solving Real Problems with Kaggle Competitions

Outro