# Questions tagged [loss-functions]

For questions related to the concept of loss (or cost) function in the context of machine learning.

50 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
14 views

### How do weights changes handles during back-propagation when there are unknown labels

I have a question about how weights are updated during back-propagation for some of my samples that have unknown labels (please note, unknown, not missing). The reason they are unknown is because this ...
59 views

### when should I create a custom loss function?

Hi I'm using neural network to solve a multi regression problem. I'm trying to predict continuous values, to be more specific I'm making a tracking algorithm to track the position of an Object, I'm ...
46 views

### When to use RMSE as opposed to MSE and vice versa?

I understand that RMSE is just the square root of MSE. Generally, as far as I have seen, people seem to use MSE as a loss function and RMSE for evaluation purposes, since it exactly gives you the ...
22 views

### Single label classification into hierarchical categories using a neural network

I am working on a classification problem into progressive classes. In other words, there is some hierarchy of categories in such a way, that A < B < C, e.g. low, medium, high, very high. What ...
35 views

### Is Mean Squared Error Loss function a good loss function for continuous variables $0 < x < 1$

Suppose I am utilising a neural network to predict the next state, $s'$ based on the current $(s, a)$ pairs. all my neural network inputs are between 0 and 1 and the loss function for this network ...
20 views

236 views

### How do I get multiple loss per sample in keras evaluate?

Usually, when I evaluate() a model, I would get a single loss that is already averaged over all samples. How do I get the loss per each sample and return all of them? E.g. if my dataset has 100 ...
236 views

### Extend the loss function from the single action to the n-action case per time step

My question concerns a side question (which was not answered) asked here: Policy gradients for multiple continuous actions I am trying to implement a simple policy gradient algorithm for a discrete ...
148 views

22 views

### Can neural networks handle redundant inputs?

I have a fully connected neural network with the following number of neurons in each layer [4, 20, 20, 20, ..., 1]. I am using TensorFlow and the 4 real-valued ...
25 views

### How should I define the loss function when using DQN to estimate the probability density?

I'm doing a Deep Q-learning project. All of my rewards are positive and there are two terminal states. One of them has a zero reward and the other has a high positive reward. The rewards are ...
37 views

### How do you perform a gradient based adversarial attack on an SVM based model?

I have an SVM currently and want to perform a gradient based attack on it similar to FGSM discussed in Explaining And Harnessing Adversarial Examples. I am struggling to actually calculate the ...
21 views

### Deduce properties of the loss functions from the training loss curves

I have two convex, smooth loss functions to minimise. During the training (a very simple model) using batch SGD (with tuned optimal learning rate for each loss function), I observe that the (log) loss ...