User serali

1 vote

Accepted

Which combination of 3 hyperparameters to combat overfitting of a convolutional neural network?

answered Dec 14, 2019 at 20:09

1 vote

Improving Validation Loss and Accuracy for CNN

answered Dec 17, 2019 at 14:31

1 vote

How do I download a Google Colab notebook?

answered Mar 13, 2021 at 11:19

1 vote

Replace nan with sequence of values

answered Sep 27, 2021 at 11:23

1 vote

Accepted

Difference in result in every run of Neural network?

answered Sep 30, 2021 at 9:50

1 vote

Can you explain how these precision, recall and purity are calculated in this context?

answered Oct 3, 2021 at 12:52

1 vote

Why does stochastic gradient descent lead us to a minimum at all?

answered Oct 6, 2021 at 8:08

1 vote

Accepted

Does gradient descent always find global minimum for specific regression type?

answered Oct 4, 2021 at 19:02

1 vote

Accepted

Robustness vs Generalization

answered Oct 8, 2021 at 10:17

1 vote

Accepted

Number of parameters in CNN

answered Oct 9, 2021 at 9:26

1 vote

How can I model this problem to train a Machine learning model

answered Oct 7, 2021 at 18:53

1 vote

How does TensorFlow handle multiple samples?

answered Oct 19, 2021 at 11:26

0 votes

How can I get the type of fitting in this curve?

answered Oct 8, 2021 at 6:55

0 votes

How do I feed my keras model in batches?

answered Oct 15, 2021 at 8:11

0 votes

Working of Dense Layer

answered Oct 16, 2021 at 9:21

0 votes

Accepted

Cleaning rows of special characters and creating dataframe columns

answered Oct 5, 2021 at 9:05

0 votes

Visualize 2D data in a completely filled square 2D grid, along two ordered axes

answered Oct 7, 2021 at 12:22

0 votes

Accepted

Tune learning rate while tuning other HP

answered Oct 7, 2021 at 14:56

0 votes

Which algorithm to use to classify plots based on graphical features?

answered Sep 28, 2021 at 14:30

0 votes

Accepted

Pre trained dataset for Car damage detection

answered Oct 1, 2021 at 10:44

0 votes

predict a binary vector of size 40

answered Oct 1, 2021 at 15:10

0 votes

What (linear) model is common practice to use on sample size of 500 with 26 features?

answered Oct 2, 2021 at 13:09

0 votes

after overcoming the overfitting, how to increase training accuracy?

answered Sep 21, 2021 at 11:10

0 votes

Accepted

Can a CNN have a different number of convolutional layers and kernel and what does it mean?

answered Sep 22, 2021 at 12:02

0 votes

Suggestion on Preprocessing dataset

answered Sep 22, 2021 at 13:23

0 votes

CNN: visualize a model using its description

answered Sep 25, 2021 at 11:18

0 votes

How do I deal with unbalance classes in a stock market prediction problem?

answered Sep 26, 2021 at 10:41

0 votes

Numpy array vs Pandas DataFrame when training

answered Sep 26, 2021 at 14:04

0 votes

How does Gradient Descent work?

answered Sep 27, 2021 at 9:10

0 votes

Accepted

Understanding Lagrangian equation for SVM

answered Sep 23, 2021 at 10:58

Stack Exchange Network

85 Answers

Which combination of 3 hyperparameters to combat overfitting of a convolutional neural network?

Improving Validation Loss and Accuracy for CNN

How do I download a Google Colab notebook?

Replace nan with sequence of values

Difference in result in every run of Neural network?

Can you explain how these precision, recall and purity are calculated in this context?

Why does stochastic gradient descent lead us to a minimum at all?

Does gradient descent always find global minimum for specific regression type?

Robustness vs Generalization

Number of parameters in CNN

How can I model this problem to train a Machine learning model

How does TensorFlow handle multiple samples?

How can I get the type of fitting in this curve?

How do I feed my keras model in batches?

Working of Dense Layer

Cleaning rows of special characters and creating dataframe columns

Visualize 2D data in a completely filled square 2D grid, along two ordered axes

Tune learning rate while tuning other HP

Which algorithm to use to classify plots based on graphical features?

Pre trained dataset for Car damage detection

predict a binary vector of size 40

What (linear) model is common practice to use on sample size of 500 with 26 features?

after overcoming the overfitting, how to increase training accuracy?

Can a CNN have a different number of convolutional layers and kernel and what does it mean?

Suggestion on Preprocessing dataset

CNN: visualize a model using its description

How do I deal with unbalance classes in a stock market prediction problem?

Numpy array vs Pandas DataFrame when training

How does Gradient Descent work?

Understanding Lagrangian equation for SVM