User Miguel

13 votes

Preventing overfitting of LSTM on small dataset

answered Sep 4, 2017 at 9:52

13 votes

What are the difference between Dice, Jaccard, and overlap coefficients?

answered Oct 12, 2017 at 15:36

9 votes

Accepted

Which elements of a Neural Network can lead to overfitting?

answered Oct 6, 2017 at 12:55

7 votes

Accepted

Sequence to Sequence LSTM

answered Oct 16, 2017 at 9:41

6 votes

Gradient clipping when training deep neural networks

answered Oct 30, 2017 at 18:09

5 votes

Accepted

Neural Network Input Normalization

answered Oct 9, 2017 at 9:48

5 votes

Accepted

Why use Normalized Gini Score instead of AUC as evaluation?

answered Oct 10, 2017 at 16:24

3 votes

Accepted

Is the number of layers in the google inception net really 22?

answered Sep 19, 2017 at 13:54

3 votes

Accepted

Performing Data Analysis on Results of ML classifier applied to Unlabelled Data

answered Oct 12, 2017 at 12:37

3 votes

Accepted

Minimizing False Negatives with Multinomial Naive Bayes

answered Jul 18, 2017 at 8:37

3 votes

Why does SVM-linear kernel outperforms SVM-RBF kernel in terms of classification accuracy?

answered Jul 20, 2017 at 16:03

2 votes

Time series analysis of hybrid data with RNN?

answered Jul 19, 2017 at 13:20

2 votes

Machine learning models that combine sequences and static features?

answered Jul 18, 2017 at 15:15

2 votes

What guidelines should be followed for using Neural Networks with sparse inputs

answered Oct 27, 2017 at 10:54

1 vote

Test set, and assessment of algorithm

answered Oct 20, 2017 at 9:12

1 vote

Accepted

Steepness of ROC vs bounded AUC to optimize fpr

answered Oct 20, 2017 at 9:29

1 vote

Machine learning to classify tweets into topics – Where to start?

answered Sep 22, 2017 at 8:19

1 vote

Machine learning regression when you only know the product of the truth values

answered Sep 21, 2017 at 12:17

1 vote

Training/validation error remains the same across epoch

answered Oct 12, 2017 at 12:18

1 vote

Calculating the accuracy of a machine learning system in runtime

answered Jul 19, 2017 at 10:09

1 vote

SVM kernel parameter and tunning parameter

answered Jul 18, 2017 at 9:45

1 vote

How to remove features in logistic regression model, yet still retain accuracy?

answered Jul 12, 2017 at 15:29

1 vote

Accepted

Optimising neural network to prevent overfitting

answered Jul 22, 2017 at 14:50

1 vote

Biasing a trained neural network to a specified category for unexpected inputs

answered Jul 22, 2017 at 15:02

1 vote

Accepted

maxout activation in classification s-o-a networks

answered Aug 1, 2017 at 15:28

1 vote

Deep network to learn orientation from image data

answered Sep 4, 2017 at 9:20

0 votes

Accepted

Transforming time series as percentage of total series

answered Sep 5, 2017 at 15:45

0 votes

Accepted

How to identify given dataset is already feature scaled?

answered Sep 18, 2017 at 12:16

0 votes

Neural Network with only inputs

answered Sep 18, 2017 at 12:18

0 votes

Accepted

Test Accuracy for Unbalanced Dataset

answered Jul 21, 2017 at 16:00

Stack Exchange Network

31 Answers

Preventing overfitting of LSTM on small dataset

What are the difference between Dice, Jaccard, and overlap coefficients?

Which elements of a Neural Network can lead to overfitting?

Sequence to Sequence LSTM

Gradient clipping when training deep neural networks

Neural Network Input Normalization

Why use Normalized Gini Score instead of AUC as evaluation?

Is the number of layers in the google inception net really 22?

Performing Data Analysis on Results of ML classifier applied to Unlabelled Data

Minimizing False Negatives with Multinomial Naive Bayes

Why does SVM-linear kernel outperforms SVM-RBF kernel in terms of classification accuracy?

Time series analysis of hybrid data with RNN?

Machine learning models that combine sequences and static features?

What guidelines should be followed for using Neural Networks with sparse inputs

Test set, and assessment of algorithm

Steepness of ROC vs bounded AUC to optimize fpr

Machine learning to classify tweets into topics – Where to start?

Machine learning regression when you only know the product of the truth values

Training/validation error remains the same across epoch

Calculating the accuracy of a machine learning system in runtime

SVM kernel parameter and tunning parameter

How to remove features in logistic regression model, yet still retain accuracy?

Optimising neural network to prevent overfitting

Biasing a trained neural network to a specified category for unexpected inputs

maxout activation in classification s-o-a networks

Deep network to learn orientation from image data

Transforming time series as percentage of total series

How to identify given dataset is already feature scaled?

Neural Network with only inputs

Test Accuracy for Unbalanced Dataset