User matthiaw91

1 vote

MCMC for finding Bayesian Neural Network

answered Oct 22, 2019 at 11:26

1 vote

Calculate probability vector from sample data

answered Jun 29, 2019 at 23:01

1 vote

Autocorrelation of a sine wave

answered Jul 1, 2019 at 18:27

1 vote

Accepted

predict numeric value from images

answered Jul 5, 2019 at 8:38

1 vote

Reward is converging but actions taken by trained agent are illogical in reinforcement learning

answered Oct 3, 2019 at 13:00

1 vote

how to design sigma(std) vector to have values above > 0 in VAE autoencoder

answered Oct 4, 2019 at 22:43

1 vote

Accepted

Normal equation for linear regression

answered Oct 5, 2019 at 10:10

1 vote

Why do we operate with graphical models in VAE, if there are no probabilites involved?

answered Oct 5, 2019 at 18:02

1 vote

why variational inference in variational autoencoder if dealing with simple graphical model

answered Oct 5, 2019 at 18:27

1 vote

Accepted

neural network probability output and loss function (example: dice loss)

answered Jun 10, 2020 at 11:35

1 vote

Train building classifier for imagerial data

answered Feb 20, 2020 at 21:48

1 vote

Convolutional neural network giving high confidence on wrong classification

answered Feb 21, 2020 at 12:45

1 vote

Accepted

How does the "skip" method work for upsampling? (fully convolutional NN)

answered Dec 4, 2019 at 13:09

1 vote

VAE generates bad images. due to unbalanced loss functions?

answered Jun 2, 2020 at 15:16

0 votes

Reason of use of Product rule of Probability in Predicting Error

answered Jun 18, 2020 at 20:54

0 votes

What do graphs of signal vs background neural network outputs represent?

answered Oct 6, 2019 at 7:22

0 votes

Low accuracy on MNIST Dataset

answered Jul 5, 2019 at 9:29

0 votes

Why do we need convolutions over volume in convolutional neural networks for image recognition?

answered Sep 28, 2019 at 13:32

0 votes

Clause type classification

answered Oct 22, 2019 at 22:06

0 votes

What is the meaning of "probability distribution of p(x)" of something uncountable?

answered Oct 18, 2019 at 18:15

0 votes

Analysis for basic weight training analysis?

answered Oct 28, 2019 at 4:57

0 votes

How to use Variational Autoencoder's μ and σ with user-generated z?

answered Dec 3, 2019 at 23:12

Stack Exchange Network

52 Answers

MCMC for finding Bayesian Neural Network

Calculate probability vector from sample data

Autocorrelation of a sine wave

predict numeric value from images

Reward is converging but actions taken by trained agent are illogical in reinforcement learning

how to design sigma(std) vector to have values above > 0 in VAE autoencoder

Normal equation for linear regression

Why do we operate with graphical models in VAE, if there are no probabilites involved?

why variational inference in variational autoencoder if dealing with simple graphical model

neural network probability output and loss function (example: dice loss)

Train building classifier for imagerial data

Convolutional neural network giving high confidence on wrong classification

How does the "skip" method work for upsampling? (fully convolutional NN)

VAE generates bad images. due to unbalanced loss functions?

Reason of use of Product rule of Probability in Predicting Error

What do graphs of signal vs background neural network outputs represent?

Low accuracy on MNIST Dataset

Why do we need convolutions over volume in convolutional neural networks for image recognition?

Clause type classification

What is the meaning of "probability distribution of p(x)" of something uncountable?

Analysis for basic weight training analysis?

How to use Variational Autoencoder's μ and σ with user-generated z?