# Questions tagged [machine-learning]

For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

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### Is there a way of deriving a loss function given the neural network and training data?

There is some sort of art to using the right loss function. However, I was wondering if there is a way to derive the loss function if I gave you a neural network model (the weights) as well as the ...
15 views

### VAE generates bad images. due to unbalanced loss functions? [closed]

I'm training a variational autoencoder on CelebA dataset using TensorFlow.keras The problem I'm facing is that the generated images are not diverse enough and look kinda bad. example: What I think:...
8 views

### Training Conditional DCGAN with GAN-CLS loss

I am trying to implement conditional GAN using GAN-CLS loss as described in paper: https://arxiv.org/abs/1605.05396 So, while training discriminator, I should I have three batches of data: [...
19 views

### How could a NN be trained to output a cyclic (e.g. hue) number?

I was thinking about training a neural network to colourize images. The input would be the luminosity/value for each pixel, and the output would be a hue and/or saturation. Training data would be ...
24 views

### Why do we use a delay when feeding our input data to the echo state network?

I'm new to working with neural networks and have recently began implementing neural networks for time series forecasting in some of my work. I've been particularly using Echo State Networks and have ...
31 views

### Is it possible to create a fair machine learning system?

Started thinking about fairness of machine learning models recently. Wiki page for Fairness_(machine_learning) defines fairness as: In machine learning, a given algorithm is said to be fair, or to ...
19 views

### Regularization to enforce feature learning

Is there any research into ways to enforce feature selection across classes by network structure? Given the number of parameters in NN, even convnets are prone to over fitting. I'm curious if there ...
19 views

### Why is the accuracy of my model very low on a separate dataset from the training and test datasets?

I am working on stock price prediction project, I am using the support vector regression (SVR) model for it. As I am splitting my data into train and test, I am getting high accuracy while predicting ...
10 views

### How to make a multivariate forecasting if one of features becomes known for the future with some confidence level, e.g. weather forecast data

Let's assume that we make forecasting of another metric partially based on forecasts of the weather forecast, e.g. of temperature, pressure, then we can potentially obtain those forecasts from one of ...
7 views

### Training a model for text document transformation?

I have a bunch of text documents, split into source documents and transformed documents. These text documents have multiple lines and are edited at specific locations, in a specific way. I make use ...
6 views

### VAE generates blue images [migrated]

I'm trying to train a VAE to generates celebA faces. the problem I'm facing is that the model only generates blue faces and I'm not sure why and how to fix it. The encoder: ...