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์ ์ฒด๋ณด๊ธฐ (78)๊ตญ๋น๊ต์ก(46)ํ์ด์ฌ(44)์์ดํ (43)๋ฅ๋ฌ๋(20)๋จธ์ ๋ฌ๋(11)์ธ๊ณต์ง๋ฅ(8)RNN(6)์ง๋ํ์ต(4)์ ๊ฒฝ๋ง(3)๋น์ง๋ํ์ต(3)ํ๊ท(3)์ฑ๋ด(3)matplotlib(3)๊ฒฝ์ฌํ๊ฐ๋ฒ(3)CNN(3)์ฌ์ดํท๋ฐ(3)ํ์ฑํ ํจ์(3)์ถ์ฒ ์์คํ
(2)SentencePiece(2)๊ฐ์ฒด์งํฅ(2)์๊ทธ๋ชจ์ด๋(2)scikit learn(2)์ธ์ด๋ชจ๋ธ(2)numpy(2)์ค๋ฅ(2)dropout(2)Vanishing gradient(2)Batch Normalization(2)ํธํฅ์ฑ(2)Regularization(2)AIFFEL(2)ํ๋ค์ค(2)word2vec(2)ํ๋ฅ ์ ๊ฒฝ์ฌํ๊ฐ๋ฒ(2)Cross Entropy(2)๋ก์ง์คํฑ ํ๊ท(2)Seq2Seq(2)๋ฐ์ดํฐํค(2)sigmoid(2)์ด๋ฏธ์ง ๋ถ๋ฅ๊ธฐ(2)์์ฐ์ด ์ฒ๋ฆฌ(2)์-ํซ ์ธ์ฝ๋ฉ(2)ํผ์
ํธ๋ก (2)apply(2)pandas(2)SGD(2)์ ๊ทํํ์(2)ํ๋ก์ธ์ค(1)๋ง์คํน(1)scatter(1)์ด๋ํ๊ท (1)ELU(1)๊ฐํํ์ต(1)Fine Tuning(1)adam(1)๋ฒ์ญ(1)์ฝํ
์ธ ๊ธฐ๋ฐ ํํฐ๋ง(1)์์ ํ(1)Backpropagation(1)๊น์ ๋ณต์ฌ(1)Pivot(1)L-BFGS(1)prior(1)arange(1)๊ฒฐ์ธก์น(1)๋ค์ค์์(1)ํธ๋์คํฌ๋จธ(1)sql(1)์
๋ ฅ์ธต(1)๋ฐ์ดํฐ์ ์ฒ๋ฆฌ(1)์นํฌ๋กค๋ง(1)rolling mean(1)ํ๋ฅ ๋ก ๊ธฐ์ด(1)Weight Initialization(1)์
ธ(1)Convolution(1)๋๋๋งํฌ(1)ํ๋์ฃผ์(1)Ensembles(1)๋งจํดํผ ๊ฑฐ๋ฆฌ(1)ํต๊ณ์ ๋ชจ๋ธ(1)stochastic depth(1)k ์ต๊ทผ์ ํ๊ท(1)Discrimitive Modeling(1)๊ธฐ์ธ๊ธฐ ์์ค(1)ํด๋ง ๊ณ์ธต(1)๋
ผ๋ฆฌ์ฐ์ฐ์(1)์ํํธ๋งฅ์ค(1)grid search(1)iloc(1)ํฌ๋ก์ค ์ํธ๋กํผ(1)Leaky ReLu(1)Second-Order Optimization(1)๋น๊ต์ฐ์ฐ์(1)์ธ์
(1)์ฟ ํค(1)๋ฒ์ญ๊ธฐ(1)snapshot(1)First-class Function(1)optimization(1)PoC(1)ํต๊ณ๊ธฐ๋ฐ ๊ธฐ๋ฒ(1)ํจํค์ง(1)๋ชจ๋(1)๊ฐ์ฒด(1)๋์
๋๋ฆฌ(1)ํํ์ ๋ถ์๊ธฐ(1)generator(1)์ ๋๋ ์ดํฐ(1)์ค์ฐจ์ญ์ ํ๋ฒ(1)sampling(1)Lp norm(1)NLP(1)์ ํด๋ฆฌ๋์ ๊ฑฐ๋ฆฌ(1)try(1)softmax(1)์์ฑ ๋ชจ๋ธ๋ง(1)score(1)์ถ๋ ฅ์ธต(1)RMSProp(1)lambda(1)์ธ๋ฌผ ๋ชจ๋(1)Normalization(1)์กฐ์ (1)๊ตฐ์งํ(1)dlib(1)train_test_split(1)L1(1)transfer learning(1)์๊ด๊ณ์(1)์ค์ผ์ผ ์กฐ์ (1)ํํ(1)beautifulsoup(1)๋ฐ์ฝ๋ ์ดํฐ(1)์ฐ๋ถํฌ(1)๋ฐ์ดํฐ(1)pix2pix(1)KNN(1)์์ค ํจ์(1)๋๋ค ํ์(1)๋ฒ์ฃผํ ๋ฐ์ดํฐ(1)๋ก๊ทธ ํจ์(1)Functional(1)์ฐจ์ ์ถ์(1)PReLu(1)KorBert(1)AdaGrad(1)loc(1)๋ถ๋ฅ(1)์์ฑ ๋ชจ๋ธ(1)ํ๋ณธ๊ณต๊ฐ(1)nesterov momentum(1)LSTM(1)์ํธ๋กํผ(1)UNK(1)ํผ๊ณต๋จธ(1)loss ๋ฌธ์ (1)๊ฐ๋
(1)&&(1)์ฌ๊ฑด(1)ํ๋ณ ๋ชจ๋ธ๋ง(1)random search(1)์ดํญ๊ณ์(1)L1 Regularization(1)์ดํฐ๋ ์ดํฐ(1)subplot(1)AR(1)๋ฒ ์ด์ฆ ์ ๋ฆฌ(1)beam search(1)์์นํ ๋ฐ์ดํฐ(1)๊ณต๋ถ์ฐ(1)fit(1)๋น์ง๋ ํ์ต(1)์๋ฒ ๋ฉ ํธํฅ์ฑ(1)LSA(1)transformer(1)Bias(1)๋ณ๋ ฌ(1)First-Order Optimization(1)skip connection(1)์ํ๋ฆฌ๋ทฐ(1)interpolate()(1)๊ฐ์ค์น(1)concat(1)ARIMA(1)epochs(1)์์ฝ(1)ํด๋ก์ (1)cross-validatoin(1)momentum(1)๋ ์ด์ด(1)newspaper3k(1)entropy(1)์ด์ง๋ถ๋ฅ(1)์
์๋ฆฌ(1)Greedy Decoding(1)DTM(1)fractional max pooling(1)์บ์(1)์ค๋ณต์ ๊ฑฐ(1)์ ํํ๊ท(1)์ค์ฐจ์ญ์ ํ(1)ํ ํฐํ(1)BERT(1)๋ฉํฐ์ธ๋ฑ์ฑ(1)OCR(1)rolling std(1)Attention(1)decision tree(1)Generative Modeling(1)negative dimension ์ค๋ฅ(1)subclassing(1)semantic segmentation(1)np.random(1)except(1)Counting Principle(1)missingno(1)Statistics(1)์์คํจ์(1)์ด์์น(1)์ถ์์ ์์ฝ(1)๋ค์ค ํ๊ท(1)Sequence to sequence(1)Likelihood(1)Augmented Dickey-Fuller Test(1)์ฑ๋ฅ(1)ํจ์(1)ReLU(1)linespace(1)์์ฐ์ฑ(1)tensorflow(1)cycleGAN(1)ํ๊ท๋ถ์(1)์ปดํ์ผ๋ฌ(1)ํ
์ํ๋ก์ฐ(1)์ธ์ง์ฃผ์(1)์์(1)๊ธฐ๊ณ ๋ฒ์ญ(1)์ ์(1)๋ณต์ก๋(1)๋ถ๊ฝ(1)top-5(1)LeakyReLU(1)stationary(1)batch(1)์นด๋ฉ๋ผ์ฑ(1)Tanh(1)sample space(1)์คํค๋(1)์๊ณ์ด(1)Sequential(1)์์ฌ๊ฒฐ์ ๋๋ฌด(1)Fully-connected layers(1)activation function(1)ํด๋์ค(1)clustering(1)NLP framework(1)Binomial Coefficient(1)ํด๋ฌ์คํฐ๋ง(1)predict(1)์ฌ๋ก ๊ธฐ๋ฐ ํ์ต(1)CGAN(1)๋ช
๋ น์ด(1)๋ถ์ฐ(1)heatmap(1)์ถ์ถ์ ์์ฝ(1)axioms(1)์์ ๋ณต์ฌ(1)learning rate decay(1)instance segmentation(1)BGD(1)top-1(1)semantic gap(1)posterior(1)๋ชจ๋ธ ๊ธฐ๋ฐ ํ์ต(1)i(1)image segmentation(1)segmentation(1)์ ํ ํ๊ท(1)L2 regularization(1)์์ธก(1)story proofs(1)github(1)p-value(1)์์(1)Conv2DTranspose(1)์ด์งํ์(1)Resnet(1)์ ๊ทธ๋ํ(1)๋ค์คํด๋์ค๋ถ๋ฅ(1)๊ฐ์ ๋ถ์(1)๋ณ์(1)upsampling(1)Data augmentation(1)Embedding(1)๋ฆฌ๋
์ค(1)์ปค๋(1)yield(1)seed(1)๊ทธ๋ํ(1)Mini batch(1)์ํ์ ๊ฒฝ๋ง(1)L2(1)opencv(1)์์ด๋์ด(1)TF-IDF(1)MA(1)loss function(1)๋์์ฑ(1)์ ๊ทํ(1)์๋ฃ์์(1)OOV(1)๋ฐ์ดํฐ ์๊ฐํ(1)early stopping(1)์ด์์ฒด์ (1)๊ตฌ๊ฐํ(1)์ฐจ์์ถ์(1)linear(1)ELMO(1)์ ๋ณด์ด๋ก (1)์ค๋ฒ๋ผ์ด๋ฉ(1)closure(1)์๋์ธต(1)VGG(1)BOW(1)๋์ด๋ธ ๋ฒ ์ด์ฆ ๋ถ๋ฅ๊ธฐ(1)ํ์
ํํฐ๋ง(1)๊ฐ์ค์น ์ด๊ธฐํ(1)์ปดํจํฐ ์ด๋ก (1)์ญ์ ํ(1)๊ทธ๋ฆฌ๋ ํ์(1)์ธํฐํ๋ฆฌํฐ(1)seaborn(1)gan(1)์ดํ
์
(1)๋ง๋๊ทธ๋ํ(1)fasttext(1)ํฐ๋ฏธ๋(1)shuffle(1)์ค๋ ๋(1)neural style transfer(1)dropconnect(1)dimensionality reduction(1)์์๋ธ(1)์ด๋ํ์คํธ์ฐจ(1)Event(1)Generative Model(1)
[Aiffel] Github ๊นํ๋ธ ๊ธฐ๋ณธ ์ฌ์ฉ๋ฒ
๊นํ๋ธ๋ก ํ์ ์ ํ์ํ ๋ด์ฉ
2022๋
4์ 25์ผ
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0๊ฐ์ ๋๊ธ[Aiffel] ์์ดํ 74์ผ์ฐจ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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0๊ฐ์ ๋๊ธ[Aiffel] ์์ดํ 73์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
SQL ๊ธฐ๋ณธ ๊ฐ๋
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4์ 20์ผ
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0๊ฐ์ ๋๊ธ[Aiffel] ์์ดํ 70์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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2022๋
4์ 15์ผ
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[Aiffel] ์์ดํ 68์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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4์ 12์ผ
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0๊ฐ์ ๋๊ธ[Aiffel] ์์ดํ 66์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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4์ 8์ผ
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[Aiffel] ์์ดํ 64์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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[Aiffel] 61, 62์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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[Aiffel] ์์ดํ 57์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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3์ 29์ผ
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[Aiffel] ์์ดํ 56์ผ์ฐจ ๊ฐ๋ ์ ๋ฆฌ ๋ฐ ํ๊ณ
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