User Ben Reiniger

18 answers

142 votes

164k views

113 bookmarks

How do you visualize neural network architectures?

Jul 18 '16 at 17:08

5 answers

54 votes

23k views

44 bookmarks

In softmax classifier, why use exp function to do normalization?

machine-learning deep-learning

Sep 20 '17 at 5:53

6 answers

53 votes

15k views

37 bookmarks

Should I go for a 'balanced' dataset or a 'representative' dataset?

machine-learning dataset class-imbalance

Jul 22 '14 at 12:29

4 answers

43 votes

19k views

18 bookmarks

Is it always better to use the whole dataset to train the final model?

machine-learning dataset training accuracy

Jun 12 '18 at 9:54

4 answers

15 votes

34k views

12 bookmarks

L2 loss vs. mean squared loss

loss-function

Jan 1 '18 at 1:58

3 answers

14 votes

12k views

5 bookmarks

L1 & L2 Regularization in Light GBM

xgboost regularization lightgbm

Aug 8 '19 at 17:08

2 answers

11 votes

3k views

3 bookmarks

What is the proper way to use early stopping with cross-validation?

xgboost cross-validation lightgbm early-stopping

May 17 '20 at 15:15

2 answers

10 votes

2k views

5 bookmarks

What is the most efficient method for hyperparameter optimization in scikit-learn?

scikit-learn hyperparameter hyperparameter-tuning grid-search randomized-algorithms

Mar 13 '19 at 19:42

2 answers

8 votes

103 views

1 bookmarks

Model for Differing Number of Rows per Observation

predictive-modeling feature-selection feature-engineering

Apr 17 '19 at 16:47

2 answers

8 votes

190 views

3 bookmarks

Time-series prediction: Model & data assumptions in AI/ML models vs conventional models

machine-learning neural-network time-series linear-regression

Aug 29 '19 at 6:45

2 answers

8 votes

86 views

3 bookmarks

Which classification algorithms are negatively affected by class imbalances?

machine-learning classification predictive-modeling multilabel-classification class-imbalance

Jul 3 '19 at 19:45

2 answers

8 votes

1k views

1 bookmarks

Transformer model: Why are word embeddings scaled before adding positional encodings?

tensorflow nlp transformer attention-mechanism

Jan 13 '21 at 10:10

2 answers

7 votes

266 views

1 bookmarks

Dropping features after final evaluation on test data

machine-learning feature-selection random-forest overfitting

Dec 29 '20 at 17:37

4 answers

7 votes

2k views

2 bookmarks

Can the vanishing gradient problem be solved by multiplying the input of tanh with a coefficient?

machine-learning neural-network deep-learning activation-function

May 7 '19 at 13:07

1 answers

6 votes

463 views

1 bookmarks

Strategies for handling unlabeled data which is slightly different from the labeled data

machine-learning python classification

Apr 4 '19 at 9:37

1 answers

6 votes

730 views

2 bookmarks

Understanding LSTM structure

deep-learning keras lstm rnn

Feb 18 '19 at 22:20

1 answers

6 votes

432 views

1 bookmarks

Reticulate vs Python

python r

Aug 7 '19 at 1:47

1 answers

6 votes

1k views

2 bookmarks

Smart data split (train/eval) for Object Detection

dataset data training evaluation object-detection

Jun 25 '19 at 11:44

2 answers

6 votes

200 views

1 bookmarks

ground truth fit is worse than cross validated fit on noisy data?

python regression cross-validation

Jul 6 '20 at 8:52

2 answers

5 votes

101 views

2 bookmarks

How to use "tree boosting" with a data-driven loss function

machine-learning random-forest decision-trees xgboost loss-function

Oct 2 '20 at 18:25

1 answers

5 votes

964 views

1 bookmarks

Multiclass classification on imbalanced dataset : Accuracy or micro F1 or macro F1

multiclass-classification accuracy

May 11 '19 at 22:40

2 answers

5 votes

110 views

2 bookmarks

Does a precision score increasing with a higher number of folds mean the model will improve with more data?

classification nlp cross-validation evaluation

Feb 13 '19 at 18:02

3 answers

5 votes

899 views

5 bookmarks

Quasi-categorical variables - any ideas?

time-series regression categorical-data

Jan 28 '15 at 13:42

1 answers

5 votes

1k views

2 bookmarks

My CNN produces volatile validation_loss and does not converge in python(Keras)

python keras cnn

May 7 '19 at 10:34

1 answers

5 votes

159 views

1 bookmarks

Feature scaling worsens performance?

python neural-network implementation

May 9 '19 at 16:07

1 answers

4 votes

1k views

1 bookmarks

AttributeError: type object 'Lambda' has no attribute 'shape'

python keras tensorflow

May 2 '19 at 17:25

3 answers

4 votes

429 views

1 bookmarks

Train classifier on balanced dataset and apply on imbalanced dataset?

scikit-learn data class-imbalance gbm

Mar 5 '19 at 16:10

1 answers

4 votes

254 views

1 bookmarks

Hyperopt vs Default Values

classification random-forest hyperparameter

May 27 '19 at 23:52

2 answers

4 votes

2k views

4 bookmarks

Why does feature scaling improve the convergence speed for gradient descent?

linear-regression gradient-descent supervised-learning

Jul 14 '19 at 19:33

1 answers

4 votes

4k views

1 bookmarks

svm.LinearSVC: larger max_iter number doesn't always increase the accuracy/precision/recall

scikit-learn svm supervised-learning model-selection

Aug 22 '19 at 8:29

Stack Exchange Network

current community

your communities

more stack exchange communities

101 Bookmarks