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8

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Understanding LSTM structure

deep-learning keras lstm rnn

asked 2 hours ago kg_sYy 101

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0

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6

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Keras regression adding model depth

python deep-learning keras regression

asked 2 hours ago HenryHub 130

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1

answer

19

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Is a good shuffle random state for training data really good for the model?

machine-learning neural-network keras scikit-learn

answered 10 hours ago Wes 315

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25

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+50

Classify big changes in target variable

python classification keras

modified 11 hours ago ManInMoon 63

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1

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398

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Training multi-label classifier with unbalanced samples in Keras

python neural-network classification keras multilabel-classification

answered 15 hours ago Jenny Zukerman 1

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19

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K-fold cross validation of scikit-learn with confusion matrix of Keras

keras scikit-learn cross-validation

modified 2 days ago PS Nayak 13

2

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2

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71

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Why Sckit's fit_transform causes a huge drop in accuracy and all other evaluation metrics?

machine-learning deep-learning keras scikit-learn

modified 2 days ago Community♦ 1

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12

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How to shape one-hot data for keras lstm

python keras lstm

asked Feb 16 at 0:22 treutm 22

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2

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465

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How is the generator code works in a GAN?

machine-learning keras convnet

answered Feb 15 at 16:09 jumproper 1

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0

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10

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Sequence to sequence LSTM is “slow” to observe changes. Can this be improved?

machine-learning keras lstm sequence-to-sequence

modified Feb 15 at 12:36 komodovaran_ 111

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0

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10

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Contrastive loss problem in a character-level, siamese NN model

keras nlp loss-function

asked Feb 15 at 11:19 JohnnyQ 31

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1

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16

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Effect of adding gaussian noise to the input layer in a CNN

keras noise

answered Feb 15 at 8:16 Antonio Jurić 526

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12

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How to add three csv file into one LSTM using python

python keras tensorflow lstm

asked Feb 15 at 6:45 kas 71

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0

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10

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LSTM Multi-state forecast

machine-learning deep-learning keras time-series lstm

asked Feb 14 at 7:06 Ratchainant Thammasudjarit 101

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Understanding LSTM structure

Keras regression adding model depth

Is a good shuffle random state for training data really good for the model?

Classify big changes in target variable

Training multi-label classifier with unbalanced samples in Keras

K-fold cross validation of scikit-learn with confusion matrix of Keras

Why Sckit's fit_transform causes a huge drop in accuracy and all other evaluation metrics?

How to shape one-hot data for keras lstm

How is the generator code works in a GAN?

Sequence to sequence LSTM is “slow” to observe changes. Can this be improved?

Contrastive loss problem in a character-level, siamese NN model

Effect of adding gaussian noise to the input layer in a CNN

How to add three csv file into one LSTM using python

LSTM Multi-state forecast

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