Questions tagged [objective-functions]

Question 1

I am using a machine learning model to remove interference from range-doppler maps to detect targets. I am using a supervised approach, in which I give as input the range-doppler map of target+...

Question 2

With the popularity of AIs from every media source this year,im interested in learning more about them and maybe one day build a good one.I have this code in python: ...

Question 3

Are human content moderators for social media websites needed anymore with AI? In other words, is AI so good now that it can detect if an image is pornographic, obscene, or in any violating social ...

Question 4

I have a multi label classification problem, where I was initially using a binary cross entropy loss and my labels are one hot encoded. I found a paper similar to my application and have used ...

Question 5

In gradient descent for neural networks, we optimize over a loss surface defined by our loss function L(W) where W represents the network weights. However, since there are infinitely many possible ...

Question 6

I am trying to train a multi-label video classification model. My dataset consists of just one video, sampled at 1fps. I have a total of 12k frames and 21 classes, and in a single frame multiple ...

Question 7

I am training Deep Learning models to predict the Remaining Useful Life (RUL) of certain devices. The RUL is an estimate of the time remaining until the device is expected to fail. Accurate ...

Question 8

I am now trying to train a GAN called AOT-GAN to do some inpainting operation on some anodized aluminium surfaces. At the beginning, I used a canon camera to take the photos for training the AOT-GAN....

Question 9

I'm doing a research about actor-critic methods and I want to make sure that I understand these methods right. First of all, I understand that as it's a combination of value-based and policy-based ...

Question 10

I have a question regarding how the expected return of a deterministic policy in written. I have seen that in some cases the use the Q-Function as it is shown in the part Objective function ...

Question 11

Typically in supervised learning, a neural networks' output is compared to the targets through a loss function, and the gradients are backpropagated. Is it a bad idea to also have a loss function on ...

Question 12

I have a scenario when I am trying to optimize a vector of D dimensions. Every component of the vector is dependent on other components according to a function such as: summation over (i,j): (1-e(x_i)(...

Question 13

I am working with a feedforward neural network to fit the following simple function: N(1) = -1 N(2) = -1 N(3) = 1 N(4) = -1 But I don't want to use the Mean-...

Question 14

I have a rather large ML framework that takes multiple conditional probability terms that are computed via classifiers/neural networks. This arbitrary loss function is computed via a function: ...

Question 15

It is widely believed that synaptic plasticity is the way biological brains learn. Artificial implementations of this mechanism are for instance local weight-update rules in Spiking Neural Networks. ...

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Questions tagged [objective-functions]

What loss function to choose that will assign a higher penalty to false negatives than to false positives for regression task?

Universally better activation /loss function or specific-case dependency?

Are human content moderators needed anymore with AI?

how to use contrastive loss function for multi label classification?

How can gradient descent optimize a loss surface that's never fully computed?

How to write a custom loss for multi-label video classification?

Loss function that penalizes errors more at low values

sudden NaN in the loss function of training a GAN for inpainting(AOT-GAN) I am sure there is no Nan in the input

Are these objective and loss functions from Actor-Critic Methods correct?

Expected return formula for deterministic policy

Loss function on intermediate layers of the networks

Do we plug in the old values or the new values during the gradient descent update?

Custom Loss Function Traps Network in Local Optima

Using conditional probability as an estimate in a loss function

Can local learning rules minimize a global loss?

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