Deep Learning

About

[완독]

Introduction to Data Centric AI (MIT, 2022)
밑바닥 부터 시작하는 딥러닝 1,2
CS231n (Stanford Univ.)
- Introduction to Convolutional Neural Networks for Visual Recognition (22.09.21)
- Image Classification (22.09.21)
- Loss Functions and Optimization (22.09.22)
- Introduction to Neural Networks (22.09.22)
- Convolutional Neural Networks (22.09.23)
- Training Neural Networks I (22.09.24)
- Training Neural Networks II (22.09.25)
- Deep Learning Software (22.11.11)
- CNN Architectures (22.12.14)
- Recurrent Neural Networks (23.02.06)
- Segmentation & Detection
- Generative Models (23.04.13)
Vector, Matrix, and Tensor Derivatives (Erik Learned-Miller, Stanford Univ.)
파이토치 1x로 시작하는 딥러닝
Computer Vision (SKKU, Prof. Gaya Nadarajan Lecture Teaching Assistant (2022-Spring), Attended (2021-Fall))
Natural Language Processing (SKKU, Prof. Gaya Nadarajan Lecture Teaching Assistant (2022-Fall))
KAIST Idea Factory 딥러닝 홀로서기
- Graph Convolutional Network
pytorch_advanced: 만들면서 배우는 파이토치 딥러닝
Supplementary Materials: Supplementary concepts essential to understand deep learning (noted by me)
papers: Self-reviewed, reproduced, or implemented papers

[Upcoming]

[부분 참고]

Name		Name	Last commit message	Last commit date
Latest commit History 291 Commits
CS230		CS230
CS231		CS231
common		common
dataset		dataset
pytorch		pytorch
pytorch_advanced		pytorch_advanced
2 Chap 1-신경망 복습 .ipynb		2 Chap 1-신경망 복습 .ipynb
2 Chap 2-자연어와 단어의 분산 표현.ipynb		2 Chap 2-자연어와 단어의 분산 표현.ipynb
2 Chap 3-word2vec.ipynb		2 Chap 3-word2vec.ipynb
2 Chap 4-word2vec 속도 개선.ipynb		2 Chap 4-word2vec 속도 개선.ipynb
2_Chap_5_순환_신경망(RNN).ipynb		2_Chap_5_순환_신경망(RNN).ipynb
2_Chap_6_게이트가_추가된_RNN.ipynb		2_Chap_6_게이트가_추가된_RNN.ipynb
2_Chap_7_RNN을_사용한_문장_생성.ipynb		2_Chap_7_RNN을_사용한_문장_생성.ipynb
2_Chap_8_Attention.ipynb		2_Chap_8_Attention.ipynb
Chap 5-오차역전파법.ipynb		Chap 5-오차역전파법.ipynb
Chap 6-학습 관련 기술들.ipynb		Chap 6-학습 관련 기술들.ipynb
Chap 7-CNN.ipynb		Chap 7-CNN.ipynb
Chap1-Hello Python.ipynb		Chap1-Hello Python.ipynb
Chap2-Perceptron.ipynb		Chap2-Perceptron.ipynb
Chap3-NeuralNetwok.ipynb		Chap3-NeuralNetwok.ipynb
Chap4-TrainingNN.ipynb		Chap4-TrainingNN.ipynb
Edge Detection using cv2.ipynb		Edge Detection using cv2.ipynb
README.md		README.md
basicGCN.pdf		basicGCN.pdf
forward_stepbystep.pdf		forward_stepbystep.pdf

Provide feedback