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#python#C++#gof의 디자인패턴#DeepLearning#tensorflow#Design Patterns#선형대수#datamining#GOF#matrix#디자인패턴#from PIL import Image#NIN tensorflow#mnist#PyTorch#linear transformation#nltk#SOFTMAX#beautifulsoup#NIN#PCA#paper#데이터마이닝#cnn#KNN#soup.string#soup.new_tag()#new_tag#ubuntu hidden wifi#ubuntu server hidden wifi#hidden wifi#ubuntu 20.04 server#onnx#pytorch onnx#torchvision.datasets.imagefolder#pytorch Customdataset#pil.image#PIL.paste#PIL.crop#ImageFolder#Uncertainty in DeepLearning paper#Uncertainty in DeepLearning#Paper list#pytorch DistributedDataParallel gather#DistributedDataParallel gathering#torch DistributedDataParallel gather#torch multiprocessing-distributed gathering#pytorch imagenet#pytorch imagenet multiprocessing-distributed gather#webdriver#python href 크롤링#docker command#logit Backpropagation#softamx#CrossEntropy#Active learning#ACTIVE LEARNING FOR CONVOLUTIONAL NEURAL NETWORKS: A CORE-SET APPROACH#cross entropy loss#logits#cross entropy#RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/aten/src/THC/generic/THCTensorMath.cu:24#pytorch imbalance data set.#torch.permute()#but got 32 channels instead 오류#3] to have 3 channels#expected input[128#weight of size [16#pytorch RuntimeError: Given groups=1#high confidence#Temperature scaling#On Calibration of Modern Neural Networks#교차 검증 팁#데이터 팁#Cross Validation#교차 검증(Cross Validation)#PyTorch MNIST#PyTorch Neural Networks#PyTorch 기초#Pytorch 뉴럴네트워크 기초.#tf.layers.batch_normalization()#중복값 카운터#from collections import Counter#python list 중복 값 카운터하기#PCA(Principal component analysis)#인덱스 랜덤 추출#numpy array#임밸런스 데이터..#imbalanced data#data imblanced#Imbalanced data mini batch 학습#deeplearing basic dataset#딥러닝 서버컴#딥러닝 컴퓨터#cooler type#reference gpu#blower type#그래픽 카드 온도#블로워(Blower) 타입#multi gpu#tensorflow erro#10)'#which has shape '(?#) for Tensor u'Placeholder_1:0'#ValueError: Cannot feed value of shape (10#t-Distributed Stochastic Neighbor Embedding#SNE (Stochasitic Neighbor Embedding)#Visualizing Data using t-SNE#Visualizing Data using t-SNE 리뷰#cifar10 tensorflow#CIfar10 example#Cifar10 Tensorflow example#Tensorflow MNIST#MNIST Tensorflow example#unpacking#**kargs#*args#Python Asterisk 가변인자.#Backpropagation#Python lamdba#Sentiment Analysis#text mining#배그 리뷰#텍스트 마이닝#텍스트 마이닝 감성 분석 및 감성사전 구축.#텍스트 마이닝 감성 사전 및 나이브 베이즈#배틀그라운드 스팀 리뷰를 통한 감성 사전 구축 및 감성 분석.#Python list Comprehension#pickle load#pickle dump#pickle 파일 읽기#512))#image.resize((512#파이썬 이미지 조정#파이썬 이미지 크기조정#python Image resize#Could not install packages due to an EnvironmentError: [WinError 5] 액세스가 거 부되었습니다:#pip install error Could not install packages due to an EnvironmentError: [WinError 5] 액세스가 거 부되었습니다:#i).strip()#re.sub('[^a-zA-Z0-9]'#[^a-zA-Z0-9]#숫자만 남기고 제거.#python 영어#python np.linalg.norm()#Vector space calculrate Eucildean#echo $DISPLAY#import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt#matplot Invalid DISPLAY variable#Linux python matplot RuntimeError: Invalid DISPLAY variable#Linux 프로세스 확인 및 프로세스 죽이기.#ps -ef | grep $ID#kill -9 PID#Linux CUDA 사용해서 GPU로 Python.py 실행#CUDA_GPU#CUDA_VISIBLE_DEVICES=0 python test.py#Image.save#Image.new#python image merge#파이썬 이미지 합치기#파이썬 이미지 합치기. from PIL import Image#file rename python#파일 리네임 파이썬#파일썬 리네임#파이썬 파일 이름변경#os.rename#한글 영어#py_translator#PCR python#PCA python#PCA & PCR Python numpy code#GPU 할당량 보기.#CUDA_VISIBLE_DEVICES=0 python tsne.py#우분트 환경 파이썬 파일 GPU 실행.#우분투 python GPU 실행.#python print#Python 입력 값으로 출력 하기.#엠니스트 랜덤추출#랜덤추출#임밸런스데이터#one-hot-encoding#엠니스트 불균형#MNIST IMBALANCE DATA#MNIST Data 랜덤 추출.#병렬 스케쥴#파이썬 스케쥴링 병렬#Python MM1 queue 파이썬MM1 큐잉 시스템 병렬#바운딩박스 패치 뜯기#Bounding box patch#바운딩 박스 이미지 패치 만들기.#imbalance data#Facenet#Quintuplet sampling#Learning Deep Representation for Imbalanced Classification#nltk.stopwords#Stopwords#Conditional Frequency Distributions#NLTK를 이용한 Frequency Distributions#python crawling#Only the following pseudo-classes are implemented: nth-of-type#NotImplementedError: Only the following pseudo-classes are implemented: nth-of-type.#nltk.tokenize.sent_tokenize#nltk.tokenize.word_tokenize#데이터 불균형 CNN#DataImbalance#A systematic study of the class imbalance problem in convolutional neural networks#MM1 큐잉시스템#mm1#Python mm1 queue#파이썬 큐잉 시스템.#KNN 알고리즘#LMPNN#LMKNN#Improved pseudo nearest neighbor classification#csv 한글깨짐#pd.to_csv#df.to_csv시 한글 꺠짐 오류. pandas csv 저장시 한글 깨짐 오류.#boston dataset#ols regression#OLS REG#TT-test#FF-test#𝐹𝐹-test and 𝑡𝑡-test for OLS regression boston dataset#tfidf#tf model#CountVectorizer#TfidfVectorizer#K-Means Clustering#Hierarchical Clustering#import tensorflow.contrib.slim 오류#t-SNE#TSNE MNIST#Visiualizing t-SNE#Visiualizing t-SNE(Stochastic Neighbor Embedding)#SNE#Stochastic Neighbor Embedding#TSNE#nvidia-smi#Image Style Transfer#Image Style Transfer Using Convolutional Neural Networks#pythion#numpy softmax#softmax funtion#Softmax fuction 소프트맥스 함수#메멘토 패턴#Design Patterns MEMENTO 메멘토 패턴#명령패턴#COMMAND 명령 패턴#Design Patterns COMMAND 명령 패턴#Accuarcy#혼동행렬#Confusion Matrix#Mean Absolute Error#Root Mean Square Error#RMSE#모델종류#RMSProp#AdaGrad#Nesterov#SGD#Optimiztion#DeepLearning Optimiztion#cross entopy error#립더닝#loss function#tensorflow code#CNN MNIST#CNN MNIST Example#Linear Transformation Neural Network#뉴럴네트워크 선형변환.#Design Patterns ABSTRACT FACTORY#Design Patterns ABSTRACT FACTORY 추상 팩토리 패턴 C++#배치노말#Batch Normalization Tensorflow#DL cifar10 tensorflow#NIN paper#cifar-10#python 베이지안분류기#Wine Quality dataset Naive Bayesain#Wine Quality dataset Naive Bayesain GaussianNB & BernoulliNB#Naive Bayesain#GaussianNB#BernoulliNB#Design Patterns PROXY#FLYWEIGHT pattern#플라이급 패턴#퍼샤드패턴#FACADE 퍼사드 패턴#gof디자인패턴#장식자패턴#DECORATOR 장식자 패턴#]Loaded runtime CuDNN library: 7103#github already exists. 오류#already exists. 오류#github 오류#remote origin already exists. 오류#tensorflow 7103#error 7103#7103#(compatibility version 7100#고프의디자인패턴#템플릿 메소드패턴#ROC Curve#ROC커브#최적K찾기#wine quality dataset#batch normalization#배치노말라이제이션#1 x 1 Convolution#1x1conv#mlpconv#MLP#Global Average Pooling#cifar10#Network In Network#벡터 랭크#Vector Rank#Outer product#Column Combinations#Transpose Matrix#Linear Combinations#지니지수#Wine Quality 데이터#디시전트리#로지스틱리그레션#UCI Wine Quality#uci 데이터셋#와인데이터#항등행렬#매트릭스곱#행렬곱#Linear Equation#보스턴집값데이터#멀티플리그레션#Multiple linear Regression.#Boston House Prices dataset#matrix multiplication#데이터셋#pip install error#Decision Tree#선형결합#감성분석#파이썬 크롤링#K-means#지도학습#비지도학습#' '#Unsupervised Learning#Supervised Learning#pandas#Mean Squared Error#Gradient Descent#Cost Function#TF-IDF#pickle#mae#선형변환#linearly independent#전략 패턴#facade pattern#Regression#Docker#추상팩토리패턴#Asterisk#Flyweight#스케쥴링#lambda#sementic#데이터사이언스#Uncertainty#dataset#선형방정식#Confidence#비정형데이터#cee#Machine Learning#Reg#Momentum#PCR#프록시 패턴#Proxy Pattern#reduce#word count#multi#RANK#pnn#감성사전#Training#mse#clustering#역행렬#precision#코스트#Design Pattern#32#크롤링#google translate#Template Method#Decorator#Strategy 패턴#Facade#logistic regression#로스#한글깨짐#abstract factory#리그레션#DL#행렬#저장#calibration#adam#3]#map#Model#수학#번역#모델#3