Mots-clés
machine learning
머신러닝
artificial intelligence
인공지능
딥러닝
deep learning
신경망
neural network
paper review
기계학습
자연어처리
nlp
natural language processing
논문리뷰
생성모델
variational autoencoder
vae
generative model
convolutional neural network
cnn
generative adversarial networks
gan
adversarial learning
자연어생성
nlg
natural language generation
cs224n
rnn
컴퓨터비전
트랜스포머
image recognition
attention
self-attention
computer vision
transformer
representation learning
표현학습
오토인코더
autoencoder
서울시립대
세미나
랩미팅
cs231n
Tout plus
Présentations
(6)J’aime
(6)Reviews on Deep Generative Models in the early days / GANs & VAEs paper review
changedaeoh
•
il y a 2 ans
Natural Language Generation / Stanford cs224n 2019w lecture 15 Review
changedaeoh
•
il y a 2 ans
Convolutional Neural Networks for Natural Language Processing / Stanford cs224n 2019w lecture 11
changedaeoh
•
il y a 2 ans
Vision Transformer(ViT) / An Image is Worth 16*16 Words: Transformers for Image Recognition at Scale Review
changedaeoh
•
il y a 2 ans
Convolutional Neural Networks(CNN) / Stanford cs231n 2017 lecture 5 / MLAI@UOS Lab Meeting
changedaeoh
•
il y a 2 ans
Mots-clés
machine learning
머신러닝
artificial intelligence
인공지능
딥러닝
deep learning
신경망
neural network
paper review
기계학습
자연어처리
nlp
natural language processing
논문리뷰
생성모델
variational autoencoder
vae
generative model
convolutional neural network
cnn
generative adversarial networks
gan
adversarial learning
자연어생성
nlg
natural language generation
cs224n
rnn
컴퓨터비전
트랜스포머
image recognition
attention
self-attention
computer vision
transformer
representation learning
표현학습
오토인코더
autoencoder
서울시립대
세미나
랩미팅
cs231n
Tout plus