User matthiaw91

12 votes

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Why must a CNN have a fixed input size?

answered Nov 30, 2019 at 16:13

8 votes

Why is activation needed at all in neural network?

answered Feb 19, 2020 at 10:10

6 votes

Why do train, test, validation datasets need to have the same distribution?

answered Oct 25, 2019 at 0:01

6 votes

How can you include information not present in an image for neural networks?

answered Feb 21, 2020 at 11:16

5 votes

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PCA for complex-valued data

answered Jun 10, 2020 at 2:08

5 votes

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Help in understanding the maths behind Logistic Regression

answered Oct 20, 2019 at 10:36

4 votes

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Intuition behind PCA eigenvectors

answered Oct 23, 2019 at 9:31

4 votes

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Dealing with irrelevant features in dataset (Homework)

answered Oct 23, 2019 at 22:45

3 votes

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Tensorflow uses more memory, the more epochs it completes

answered Oct 6, 2019 at 23:14

3 votes

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Medical Image Analysis

answered Oct 16, 2019 at 23:08

3 votes

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Convolution and Pooling as Infinitely strong priors

answered Mar 17, 2020 at 1:14

2 votes

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Bayesian regularization vs dropout for basic ann

answered Feb 27, 2020 at 4:13

2 votes

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How to comptute principal component from three points in two dimensional space?

answered Feb 20, 2020 at 14:36

2 votes

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CNN model contains several images that are null

answered Jun 9, 2020 at 9:19

2 votes

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Convolutional neural network low performance

answered Aug 31, 2021 at 21:58

2 votes

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Why is the variance going down so much in this weight initialization problem(using pytorch)?

answered Oct 25, 2019 at 9:17

2 votes

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Why is hierarchical clustering quadratic and k-means linear?

answered Feb 19, 2020 at 10:52

2 votes

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Trouble understanding the partial differentiation used in reinforcement learning

answered Dec 10, 2019 at 0:39

2 votes

Actor-critic architecture: How is the policy updated?

answered Dec 10, 2019 at 1:39

2 votes

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Reinforcement Learning: Policy Gradient derivation question

answered Feb 18, 2020 at 13:24

2 votes

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Backpropagation and Stochastic Gradient Descent(SGD)

answered Oct 28, 2019 at 22:32

2 votes

How to decide the number of primary components for PCA

answered Oct 30, 2019 at 5:50

1 vote

How to calculate probability of non independence using bayes theorem?

answered Feb 19, 2020 at 23:59

1 vote

How to Extract Information from the Image(PNG)

answered Oct 25, 2019 at 16:49

1 vote

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Square-law based RBF kernel

answered Oct 26, 2019 at 13:48

1 vote

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Samples in a PCA form lines, what are the reasons?

answered Oct 27, 2019 at 9:15

1 vote

gradient descent for non convex function like $-x^2$

answered Oct 27, 2019 at 13:24

1 vote

Finding similarity between two datasets

answered Oct 25, 2019 at 0:38

1 vote

Normalize the output of a dense layer with linear activation

answered Oct 8, 2019 at 23:39

1 vote

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Same probability for all classes

answered Oct 22, 2019 at 10:43

Stack Exchange Network

52 Answers

Why must a CNN have a fixed input size?

Why is activation needed at all in neural network?

Why do train, test, validation datasets need to have the same distribution?

How can you include information not present in an image for neural networks?

PCA for complex-valued data

Help in understanding the maths behind Logistic Regression

Intuition behind PCA eigenvectors

Dealing with irrelevant features in dataset (Homework)

Tensorflow uses more memory, the more epochs it completes

Medical Image Analysis

Convolution and Pooling as Infinitely strong priors

Bayesian regularization vs dropout for basic ann

How to comptute principal component from three points in two dimensional space?

CNN model contains several images that are null

Convolutional neural network low performance

Why is the variance going down so much in this weight initialization problem(using pytorch)?

Why is hierarchical clustering quadratic and k-means linear?

Trouble understanding the partial differentiation used in reinforcement learning

Actor-critic architecture: How is the policy updated?

Reinforcement Learning: Policy Gradient derivation question

Backpropagation and Stochastic Gradient Descent(SGD)

How to decide the number of primary components for PCA

How to calculate probability of non independence using bayes theorem?

How to Extract Information from the Image(PNG)

Square-law based RBF kernel

Samples in a PCA form lines, what are the reasons?

gradient descent for non convex function like $-x^2$

Finding similarity between two datasets

Normalize the output of a dense layer with linear activation

Same probability for all classes