User ignatius

14 votes

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What are the differences between Convolutional1D, Convolutional2D, and Convolutional3D?

answered May 8, 2019 at 11:50

11 votes

Binary classification of every time series step based on past and future values

answered May 8, 2018 at 11:32

5 votes

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Why my svm.SVC.fit( ) (linear kernal) run so long time?

answered Aug 20, 2019 at 10:49

4 votes

how to use standardization / standardscaler() for train and test?

answered Nov 25, 2019 at 10:03

4 votes

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Validation accuracy is always close to training accuracy

answered Dec 14, 2018 at 11:44

3 votes

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Cost function in linear regression

answered Dec 10, 2018 at 11:31

3 votes

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Why can't I choose my hyper-parameter in the training set?

answered May 14, 2018 at 22:17

3 votes

Add noise to an example set

answered May 22, 2018 at 13:07

2 votes

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Is it possible to train this image classifier?

answered Dec 3, 2018 at 16:19

2 votes

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The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() using panda python

answered Dec 3, 2018 at 16:40

2 votes

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How to get data back into two separate audio files after successfully applying kmeans clustering on an audio file?

answered May 21, 2018 at 6:58

2 votes

How to scale prediction back after preprocessing

answered May 22, 2018 at 8:27

2 votes

Can Keras be used to build clustering models

answered May 9, 2018 at 12:45

2 votes

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Detecting text region from an image

answered May 9, 2018 at 7:58

2 votes

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neural network xor gate classification

answered May 9, 2018 at 10:17

2 votes

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How Can I Solve it? TypeError: fillna() got an unexpected keyword argument 'implace'

answered Dec 19, 2018 at 17:02

2 votes

Validation accuracy is always close to training accuracy

answered Dec 14, 2018 at 13:28

2 votes

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How to standardize my data (Univariate Time Series Forecasting using Keras LSTM)?

answered Jul 8, 2019 at 10:44

2 votes

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Max pooling has no parameters and therefore doesn't affect the backpropagation?

answered Jul 9, 2019 at 10:35

2 votes

Is it appropriate to use polar images as input to CNNs? Or must they be Cartesian transformed first?

answered Aug 20, 2019 at 11:51

2 votes

Accepted

How to convert trained data (feature extracted) into a prediction model?

answered Aug 19, 2019 at 15:06

2 votes

use ANN to predict several properties

answered Aug 20, 2019 at 7:15

1 vote

What is the purpose of standardization in machine learning?

answered Aug 21, 2019 at 15:27

1 vote

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is gradient descent also used during feed forward propagation in Neural Network?

answered Aug 22, 2019 at 8:11

1 vote

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Gradient of a function in Python

answered May 8, 2020 at 12:45

1 vote

Undersampling for credit card fraud detection before or after Train/Test Split

answered Feb 10, 2021 at 15:41

1 vote

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Performing anomalie detection on a battery volatge using LSTM-RNN

answered Feb 18, 2021 at 14:42

1 vote

What is wrong with my logistic regression implementation?

answered Apr 2, 2019 at 11:29

1 vote

Can we calculate iou and mean iou with only images and labels and without train and test csv file

answered Jul 12, 2019 at 10:19

1 vote

Neural net only works for small datasets

answered Aug 19, 2019 at 13:22

Stack Exchange Network

54 Answers

What are the differences between Convolutional1D, Convolutional2D, and Convolutional3D?

Binary classification of every time series step based on past and future values

Why my svm.SVC.fit( ) (linear kernal) run so long time?

how to use standardization / standardscaler() for train and test?

Validation accuracy is always close to training accuracy

Cost function in linear regression

Why can't I choose my hyper-parameter in the training set?

Add noise to an example set

Is it possible to train this image classifier?

The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() using panda python

How to get data back into two separate audio files after successfully applying kmeans clustering on an audio file?

How to scale prediction back after preprocessing

Can Keras be used to build clustering models

Detecting text region from an image

neural network xor gate classification

How Can I Solve it? TypeError: fillna() got an unexpected keyword argument 'implace'

Validation accuracy is always close to training accuracy

How to standardize my data (Univariate Time Series Forecasting using Keras LSTM)?

Max pooling has no parameters and therefore doesn't affect the backpropagation?

Is it appropriate to use polar images as input to CNNs? Or must they be Cartesian transformed first?

How to convert trained data (feature extracted) into a prediction model?

use ANN to predict several properties

What is the purpose of standardization in machine learning?

is gradient descent also used during feed forward propagation in Neural Network?

Gradient of a function in Python

Undersampling for credit card fraud detection before or after Train/Test Split

Performing anomalie detection on a battery volatge using LSTM-RNN

What is wrong with my logistic regression implementation?

Can we calculate iou and mean iou with only images and labels and without train and test csv file

Neural net only works for small datasets