Tag
#machine learning#Python#논문리뷰#CNN#tensorflow#deep learning#self-supervised learning#object detection#linear regression#paper review#unsupervised learning#contrastive learning#LSTM#RNN#scikit-learn#semi-supervised learning#SimCLR#Seq2Seq#ResNet#Cost Function#pandas#nlp#Bootstrap your own latent#BYOL#Contrasitve Learning#SwAV#SimCLRv2#Moco#Fixmatch#object detection SOTA#Bi-FPN#EfficientNet#EfficientDet#feature pyramid networks#giou#ㅕㄹ#어텐션모델#seq2seq attention#attention model#시퀀스투시퀀스#machine translator#이미지캡셔닝#dense captioning#image captioning#카이스트 대학원 등록금#long sequence rnn#stacked rmm#dymanic rnn#maxpooling#multi varialbe#pre training#Leave one out#K-fold validation#Machine Learninf#L2 norm#L1 norm#Performance measure#Multivariate Linear Regression#Sk-learn#Dummy Coding#Missing Values#MinMaxScaler#StandardScaler#Data Preprocessing#regularization#Bias-Variance Tradeoff#Binary classification#Instance segmentation#Stochastic Gradient Descent#Faster R-CNN#Bounding Box Regression#Semantic Segmentation#normal equation#Polynomial Regression#cross validation#Mask R-CNN#R-CNN#Logistic Classification#Convolution Neural Network#Sigmoid Function#DenseNet#alexnet#pytorch#transfer learning#Gradient Descent#MNIST#욜로#DeepLearning#kaggle#논문 리뷰#YOLO#machine translation#logistic regression#overfitting#카이스트 대학원#면접 후기#sgd#fine tuning#matplotlib#Computer Vision#IOU#momentum#기계번역#산업공학과#자연어처리#Ensemble#softmax#Lasso#Ridge#Titanic#ㅈ#attention#FPN