User Thomas Wagenaar

10 votes

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What is dense prediction in Deep learning?

answered May 25, 2017 at 10:58

9 votes

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Why is sigmoid or tanh better than linear slope for an activation function?

answered Apr 4, 2017 at 13:51

8 votes

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In neural network literature, which one is activation?

answered Apr 5, 2017 at 13:59

3 votes

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Mixing shuffle order on training set for future epochs

answered Apr 7, 2017 at 8:06

3 votes

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Higher level features in neural networks

answered May 12, 2017 at 15:54

3 votes

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How do I standarize input data for a neural network?

answered May 15, 2017 at 8:18

3 votes

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Alternative ways of coding the same output in neural networks?

answered May 23, 2017 at 11:26

2 votes

Is it a bad idea if the number of units in consecutive layers of a NN drops by a large amount?

answered May 30, 2017 at 17:44

2 votes

Deep networks vs shallow networks: why do we need depth?

answered Apr 19, 2017 at 13:30

2 votes

Convolutional neural networks - What is done first? Padding or convolving?

answered Apr 19, 2017 at 17:09

2 votes

What is the meaning of the error rate in Neural networks?

answered May 2, 2017 at 9:48

1 vote

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Tic Tac Toe Neural Network Predicting a Piece Where there is a Piece

answered May 2, 2017 at 9:55

1 vote

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Evaluation of a model on Deep Neural Networks

answered Apr 30, 2017 at 18:02

1 vote

Binary Neural Network using only bit and integer operations

answered May 1, 2017 at 9:37

1 vote

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Training an agent to play Flappy Bird

answered Apr 18, 2017 at 7:50

1 vote

How can I add extra new data after trainning neural network?

answered Apr 19, 2017 at 9:09

1 vote

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Classification - train on full data, predict on partial data

answered Mar 6, 2017 at 10:40

1 vote

How to perform multi-step ahead in MLP time series model?

answered Mar 15, 2017 at 8:28

1 vote

How to bulid a new neural network or use a learned one for prediction when some variables are missing

answered Apr 4, 2017 at 8:25

1 vote

How do we construct features to use as input to machine learning algorithms for the purpose of movie recommendations(using collaborative filtering)?

answered May 26, 2017 at 18:50

1 vote

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ReLU when outputs should be constrained

answered May 15, 2017 at 18:39

1 vote

How to improve the accuracy of a neural network model?

answered May 18, 2017 at 9:06

1 vote

Does the adjustment / learning of the weights in Perceptron algorithm depend on the learning rate?

answered May 22, 2017 at 11:09

1 vote

Accepted

How can you map the exceedance of a threshold into an activation function of a Neural Network?

answered May 22, 2017 at 19:37

1 vote

How do I calculate output of a Neural Network?

answered Jun 7, 2017 at 10:06

1 vote

Can the output layer size be bigger than input layer size in a neural network?

answered Jun 9, 2017 at 14:55

1 vote

Visualizing model trajectories for Neural Networks using function approximator

answered Jun 12, 2017 at 17:25

1 vote

Construct formula for neural network

answered Jun 15, 2017 at 10:44

1 vote

What is weights in perceptron

answered Jun 16, 2017 at 17:38

1 vote

Starting configurations for RNN and MLPs

answered Jun 18, 2017 at 18:40

Stack Exchange Network

46 Answers

What is dense prediction in Deep learning?

Why is sigmoid or tanh better than linear slope for an activation function?

In neural network literature, which one is activation?

Mixing shuffle order on training set for future epochs

Higher level features in neural networks

How do I standarize input data for a neural network?

Alternative ways of coding the same output in neural networks?

Is it a bad idea if the number of units in consecutive layers of a NN drops by a large amount?

Deep networks vs shallow networks: why do we need depth?

Convolutional neural networks - What is done first? Padding or convolving?

What is the meaning of the error rate in Neural networks?

Tic Tac Toe Neural Network Predicting a Piece Where there is a Piece

Evaluation of a model on Deep Neural Networks

Binary Neural Network using only bit and integer operations

Training an agent to play Flappy Bird

How can I add extra new data after trainning neural network?

Classification - train on full data, predict on partial data

How to perform multi-step ahead in MLP time series model?

How to bulid a new neural network or use a learned one for prediction when some variables are missing

How do we construct features to use as input to machine learning algorithms for the purpose of movie recommendations(using collaborative filtering)?

ReLU when outputs should be constrained

How to improve the accuracy of a neural network model?

Does the adjustment / learning of the weights in Perceptron algorithm depend on the learning rate?

How can you map the exceedance of a threshold into an activation function of a Neural Network?

How do I calculate output of a Neural Network?

Can the output layer size be bigger than input layer size in a neural network?

Visualizing model trajectories for Neural Networks using function approximator

Construct formula for neural network

What is weights in perceptron

Starting configurations for RNN and MLPs