User serali

22 votes

Are humans superior to machines in chess?

answered Nov 10, 2019 at 10:42

9 votes

Accepted

How can I predict the next number in a non-obvious sequence?

answered Oct 4, 2021 at 11:56

4 votes

Accepted

What do the subscripts mean in $N_{t,n,\sigma,L}$?

answered Nov 13, 2019 at 8:34

3 votes

Is k-fold cross-validation more effective than splitting the dataset into training and test datasets to prevent overfitting?

answered Nov 17, 2019 at 10:49

3 votes

Accepted

Does the neural network calculate different relations between inputs automatically?

answered Dec 1, 2019 at 16:47

3 votes

Accepted

How can I find what does an specific neuron do in neural network?

answered Dec 5, 2019 at 8:51

3 votes

Are there any animation tools available to visualise and simulate deep neural networks?

answered Sep 28, 2021 at 10:21

2 votes

What could I do to this CNN to achieve a higher accuracy on the cifar10 dataset?

answered Nov 19, 2019 at 14:53

2 votes

Accepted

What does top N accuracy mean?

answered Nov 19, 2019 at 19:30

2 votes

Accepted

How do I combine models trained on different data to increase classification accuracy?

answered Nov 13, 2019 at 12:48

2 votes

Accepted

How to decide a train-test split?

answered Oct 12, 2021 at 15:01

1 vote

When would it make sense to perform a gradient descent step for each term of a loss function with multiple terms?

answered Oct 13, 2021 at 9:27

1 vote

Improving validation losses and accuracy for 3D CNN

answered Oct 12, 2021 at 9:34

1 vote

Analyzing vibration using machine learning

answered Nov 3, 2019 at 10:30

1 vote

Accepted

How can I merge two datasets?

answered Nov 15, 2019 at 11:57

1 vote

What are examples of books or papers on the details of convolutional neural networks?

answered Nov 17, 2019 at 17:39

1 vote

How GoogleNet actually deal with reducing overfitting?

answered Nov 30, 2019 at 9:05

1 vote

What practically makes a good architecture of ANN?

answered Sep 28, 2021 at 11:56

1 vote

What do people refer to when they use the word 'dimensionality' in the context of convolutional layer?

answered Oct 1, 2021 at 11:00

1 vote

Accepted

How do you handle unbalanced image datasets?

answered Sep 25, 2021 at 13:01

0 votes

In mini-batch gradient descent, do we pass each input in the batch individually or all inputs at the same time through the layer?

answered Sep 27, 2021 at 8:54

0 votes

Is there any relationship between the batch size and the number of epochs?

answered Sep 25, 2021 at 11:58

0 votes

An intuitive explanation of Adagrad, its purpose and its formula

answered Aug 19, 2019 at 16:50

0 votes

How does the network know which objects to track in the paper "Label-Free Supervision of Neural Networks with Physics and Domain Knowledge"?

answered Sep 19, 2019 at 9:50

0 votes

Who is working on explaining the knowledge encoded into machine learning models?

answered Nov 2, 2019 at 9:00

Stack Exchange Network

25 Answers

Are humans superior to machines in chess?

How can I predict the next number in a non-obvious sequence?

What do the subscripts mean in $N_{t,n,\sigma,L}$?

Is k-fold cross-validation more effective than splitting the dataset into training and test datasets to prevent overfitting?

Does the neural network calculate different relations between inputs automatically?

How can I find what does an specific neuron do in neural network?

Are there any animation tools available to visualise and simulate deep neural networks?

What could I do to this CNN to achieve a higher accuracy on the cifar10 dataset?

What does top N accuracy mean?

How do I combine models trained on different data to increase classification accuracy?

How to decide a train-test split?

When would it make sense to perform a gradient descent step for each term of a loss function with multiple terms?

Improving validation losses and accuracy for 3D CNN

Analyzing vibration using machine learning

How can I merge two datasets?

What are examples of books or papers on the details of convolutional neural networks?

How GoogleNet actually deal with reducing overfitting?

What practically makes a good architecture of ANN?

What do people refer to when they use the word 'dimensionality' in the context of convolutional layer?

How do you handle unbalanced image datasets?

In mini-batch gradient descent, do we pass each input in the batch individually or all inputs at the same time through the layer?

Is there any relationship between the batch size and the number of epochs?

An intuitive explanation of Adagrad, its purpose and its formula

How does the network know which objects to track in the paper "Label-Free Supervision of Neural Networks with Physics and Domain Knowledge"?

Who is working on explaining the knowledge encoded into machine learning models?